Projects: pypi: scikit-learn

https://packages.ecosyste.ms/registries/pypi.org/packages/scikit-learn

A set of python modules for machine learning and data mining
72 versions
Latest release: almost 3 years ago
5,918 dependent packages
43,777,417 downloads last month

Enhanced Analysis
Educational Contributors: a.joly@ulg.ac.be vanderplas@astro.washington.edu bh00038@cvplws63.eps.surrey.ac.uk ha258@cornell.edu satra@mit.edu zl2480@columbia.edu pinto@alum.mit.edu jz4721@nyu.edu matteo.visconti.gr@dartmouth.edu vighneshbirodkar@nyu.edu robert.l.marchman@dartmouth.edu rs2715@stern.nyu.edu claire.savard@colorado.edu aaaagrawal@iitb.ac.in ihaque@cs.stanford.edu rspeer@mit.edu mluessi@nmr.mgh.harvard.edu amitibo@tx.technion.ac.il ericchang2017@u.northwestern.edu jkarno@seas.upenn.edu minghui.liu@trincoll.edu m.lyra@sussex.ac.uk andrew.knyazev@ucdenver.edu lamb@cs.stanford.edu camilo@neurostat.mit.edu martino.sorbaro@ed.ac.uk t.sheerman-chase@surrey.ac.uk cgohlke@uci.edu batulaa@drexel.edu kcarnold@alum.mit.edu apw@seas.harvard.edu abie@alum.mit.edu rossbar@berkeley.edu alceballosa@unal.edu.co fhoang7@berkeley.edu hechen@seas.upenn.edu stefan@sun.ac.za deepyaman.datta@utexas.edu rebekah.kim@columbia.edu shubham.bhardwaj2015@vit.ac.in slama@berkeley.edu nisingh@wharton.upenn.edu kanikas3@vt.edu jdlabal@stanford.edu kjells@uw.edu markus.loning.17@ucl.ac.uk k_nzw@klis.tsukuba.ac.jp dkirkby@uci.edu balawson@bu.edu c.brummitt@columbia.edu choo8@illinois.edu giorgio.patrini@anu.edu.au shangwuy@andrew.cmu.edu rafael.possas@sydney.edu.au olsonran@msu.edu brian.mcfee@nyu.edu naj273@nyu.edu dgrusak@trinity.edu emd222@cornell.edu voth0@sewanee.edu trishnendu.dd2014@cs.iiests.ac.in apeng@berkeley.edu boucher@cs.umass.edu lunt@ctbp.ucsd.edu bakhbari@mgh.harvard.edu piraka@brandeis.edu neal.lathia@cl.cam.ac.uk razhoshia@post.bgu.ac.il michal.romaniuk06@ic.ac.uk m.batchkarov@sussex.ac.uk lemin@cs.colostate.edu rudvlf0413@korea.ac.kr vredev16@msu.edu raschkas@msu.edu ali.baharev@univie.ac.at a.krasoulis@sms.ed.ac.uk arokem@berkeley.edu gabrielvr@al.insper.edu.br eric.sanchez1234@email.bakersfieldcollege.edu fcchou@stanford.edu rofuyu@cs.utexas.edu glemaitre@visor.udg.edu naoyaiijima@hiroshima-u.ac.jp ayushgup@iitk.ac.in joel@vlan-2666-10-17-16-173.staff.wireless.sydney.edu.au jam7w2@mail.missouri.edu j.hale09@imperial.ac.uk tw991@nyu.edu patel_zeel@iitgn.ac.in vincent.lostanlen@nyu.edu stvjc@channing.harvard.edu ritchieng@u.nus.edu bansalsi@usc.edu rbarnes@umn.edu rrohan@cs.cmu.edu liutong.zhou@columbia.edu mdh386@nyu.edu mlf419@nyu.edu shreyave@usc.edu jin.siy@northeastern.edu samuel_ainsworth@brown.edu cwijes1@lsu.edu wadawson@ucdavis.edu xinyuliu@umich.edu rz258@cornell.edu daniel.mallia21@myhunter.cuny.edu argriffi@ncsu.edu filipj@umich.edu kms15@case.edu sam.dixon@berkeley.edu khong008@e.ntu.edu.sg jnelso11@gmu.edu jclawton@umich.edu jaehyunahn@sogang.ac.kr ijpulidos@unal.edu.co gstupp@scripps.edu justhube@umich.edu noamkeidar@campus.technion.ac.il nityamd@nyu.edu css459@nyu.edu alyee@ucsd.edu andersk@mit.edu dhanus@mit.edu coreylevinson@uchicago.edu cailean.carter@quadram.ac.uk bral4884@colorado.edu dschult@colgate.edu dpwe@ee.columbia.edu dylan.cashman@tufts.edu pawelsendyk@berkeley.edu qzhang90@gatech.edu mhaberla@calpoly.edu saketk@student.unimelb.edu.au eunjikim@dm.snu.ac.kr erinrhof@uw.edu ksivaman@purdue.edu garmstrong@ucsd.edu konstantin.shmelkov@polytechnique.edu e175774@ie.u-ryukyu.ac.jp hermidal@cs.umd.edu jbearer@hmc.edu jmarin@csail.mit.edu
Repository Activity:
Repository Owner: scikit-learn (organization)
Repositories related to the scikit-learn Python machine learning library. Academic
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +2840 Educational commit emails
    142 contributors with educational email addresses
  • +20 Academic repository owner
    Repository owned by academic institution
  • +15 Institutional repository owner
    Repository owned by research institution
  • +6 Science terms in README
    3 scientific terms found in README
Penalties:
  • -10 PyPI ecosystem
    General-purpose ecosystem

Very Likely Science (100)

Papers Mentioning scikit-learn 2,431

10.3389/fnins.2018.00967
Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson’s Disease
Cited by: 13
Author(s): Óscar Peña‐Nogales, Timothy M. Ellmore, Rodrigo de Luis‐García, Jessika Suescun, Mya C. Schiess, Luca Giancardo
Software Mentions: 1
Published: over 7 years ago
10.3389/fnins.2020.558434
Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive Impairment
Cited by: 10
Author(s): Lulu Zhang, Huangjing Ni, Yu Zhang, Jun Wang, Qin Jiang, Fengzhen Hou, Albert C. Yang, Alzheimer’s Disease Neuroimaging Initiative
Software Mentions: 1
Published: almost 6 years ago
10.3389/fonc.2020.585767
Multiregional-Based Magnetic Resonance Imaging Radiomics Combined With Clinical Data Improves Efficacy in Predicting Lymph Node Metastasis of Rectal Cancer
Cited by: 23
Author(s): Xiangchun Liu, Qi Yang, Chunyu Zhang, Jianqing Sun, Kan He, Yunming Xie, Yiying Zhang, Yu Fu, Huimao Zhang
Software Mentions: 1
Published: over 5 years ago
10.1186/s12918-018-0546-1
In silico drug combination discovery for personalized cancer therapy
Cited by: 42
Author(s): Minji Jeon, Sunkyu Kim, Sungjoon Park, Heewon Lee, Jaewoo Kang
Software Mentions: 1
Published: over 8 years ago
10.3389/fonc.2020.607923
Deep Neural Networks Outperform the CAPRA Score in Predicting Biochemical Recurrence After Prostatectomy
Cited by: 6
Author(s): P. Sargos, Nicolas Leduc, Nicolas Giraud, Giorgio Gandaglia, M. Roumiguié, Guillaume Ploussard, François Rozet, M. Soulié, Romain Mathiéu, P. Mongiat Artus, Tamim Niazi, Vincent Vinh-Hung, Jean-Baptiste Beauval
Software Mentions: 1
Published: over 5 years ago
10.3389/fonc.2020.01676
Machine Learning-Based Radiomics Predicting Tumor Grades and Expression of Multiple Pathologic Biomarkers in Gliomas
Cited by: 18
Author(s): Min Gao, Siying Huang, Xuequn Pan, Xiangyun Liao, Ru Yang, Jun Liu
Software Mentions: 1
Published: almost 6 years ago
10.1128/AEM.00608-19
Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell
Cited by: 3
Author(s): Yutaka Yawata, Tatsunori Kiyokawa, Yasuhiko Kawamura, Tomohiro Hirayama, Kyosuke Takabe, Nobuhiko Nomura
Software Mentions: 1
Published: almost 7 years ago
10.3389/fonc.2021.642945
Prediction of Target-Drug Therapy by Identifying Gene Mutations in Lung Cancer With Histopathological Stained Image and Deep Learning Techniques
Cited by: 6
Author(s): Kaimei Huang, Zhiyi Mo, Wen Zhu, Bo Liao, Yachao Yang, Fang‐Xiang Wu
Software Mentions: 1
Published: over 5 years ago
10.3389/fonc.2020.00937
Radiomics Features Predict CIC Mutation Status in Lower Grade Glioma
Cited by: 15
Author(s): Luyuan Zhang, Felipe Giuste, Juan C. Vizcarra, Xuejun Li, David Gutman
Software Mentions: 1
Published: about 6 years ago
10.3389/fonc.2020.01186
CT-Based Deep Learning Model for Invasiveness Classification and Micropapillary Pattern Prediction Within Lung Adenocarcinoma
Cited by: 15
Author(s): Huang Ding, Wenjie Xia, Lei Zhang, Qixing Mao, Bowen Cao, Yihang Zhao, Lin Xu, Feng Jiang, Gaochao Dong
Software Mentions: 1
Published: about 6 years ago
10.3389/fonc.2020.00752
Machine-Learning Classifiers in Discrimination of Lesions Located in the Anterior Skull Base
Cited by: 22
Author(s): Yang Zhang, Lan Shang, Chaoyue Chen, Xuelei Ma, Xuejin Ou, Jian Wang, Fan Xia, Jianguo Xu
Software Mentions: 1
Published: over 6 years ago
10.3389/fonc.2021.709137
Prediction of EGFR Mutation Status Based on 18F-FDG PET/CT Imaging Using Deep Learning-Based Model in Lung Adenocarcinoma
Cited by: 8
Author(s): Guang Yin, Ziyang Wang, Yan Song, Xiaofeng Li, Yiwen Chen, Lihong Zhu, Qian Su, Diansheng Dong, Wengui Xu
Software Mentions: 1
Published: about 5 years ago
10.3389/fonc.2020.608598
Machine Learning for Histologic Subtype Classification of Non-Small Cell Lung Cancer: A Retrospective Multicenter Radiomics Study
Cited by: 16
Author(s): Fang Yang, Wei Chen, Haifeng Wei, Xianru Zhang, Shuanghu Yuan, Qiao Xu, Yen‐Wei Chen
Software Mentions: 1
Published: over 5 years ago
10.3389/fonc.2019.01338
The Diagnostic Value of Radiomics-Based Machine Learning in Predicting the Grade of Meningiomas Using Conventional Magnetic Resonance Imaging: A Preliminary Study
Cited by: 47
Author(s): Chaoyue Chen, Xinyi Guo, Jian Wang, Wen Guo, Xuelei Ma, Jianguo Xu
Software Mentions: 1
Published: over 6 years ago
10.3389/fonc.2021.639062
Differentiation of Glioma Mimicking Encephalitis and Encephalitis Using Multiparametric MR-Based Deep Learning
Cited by: 9
Author(s): Wenli Wu, Jiewen Li, Junyong Ye, Qi Wang, Wentao Zhang, Shengsheng Xu
Software Mentions: 1
Published: over 5 years ago
10.1186/s12919-018-0140-y
Methods for detecting methylation by SNP interaction in GAW20 simulation
Cited by: 2
Author(s): E. Warwick Daw, James E. Hicks, Petra Lenzini, Shiow J. Lin, Judy Wang, Christine A. Williams, Ping An, Michael A. Province, Aldi T. Kraja
Software Mentions: 1
Published: about 8 years ago
10.3390/ijms21207501
How Machine Learning Methods Helped Find Putative Rye Wax Genes Among GBS Data
Cited by: 3
Author(s): Magdalena Góralska, Jan Bińkowski, Natalia Lenarczyk, Anna Bienias, Agnieszka Grądzielewska, Ilona Czyczyło-Mysza, Kamila Kapłoniak, Stefan Stojałowski, Beata Myśków
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12883-018-1198-x
The Norwegian Cognitive impairment after stroke study (Nor-COAST): study protocol of a multicentre, prospective cohort study
Cited by: 33
Author(s): Pernille Thingstad, Torunn Askim, Mona K. Beyer, Geir Bråthen, Hanne Ellekjær, Hege Ihle‐Hansen, Anne Brita Knapskog, Stian Lydersen, Ragnhild Munthe-Kaas, Halvor Næss, Sarah T. Pendlebury, Yngve Müller Seljeseth, Ingvild Saltvedt
Software Mentions: 1
Published: almost 8 years ago
10.1186/s12882-020-01980-w
Changing relative risk of clinical factors for hospital-acquired acute kidney injury across age groups: a retrospective cohort study
Cited by: 5
Author(s): Lijuan Wu, Yong Hu, Xiangzhou Zhang, Weiqi Chen, Alan Yu, John A. Kellum, Lemuel R. Waitman, Мэй Лю
Software Mentions: 1
Published: about 6 years ago
10.3389/fonc.2021.638262
Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis
Cited by: 15
Author(s): Alix de Causans, Alexandre Carré, Alexandre Roux, Arnault Tauziède‐Espariat, Samy Ammari, Edouard Dezamis, Frédéric Dhermain, Sylvain Reuzé, Éric Deutsch, Catherine Oppenheim, Pascale Varlet, Johan Pallud, Myriam Edjlali, Charlotte Robert
Software Mentions: 1
Published: about 5 years ago
10.1186/s12874-021-01242-9
Waist circumference prediction for epidemiological research using gradient boosted trees
Cited by: 4
Author(s): Weihong Zhou, Spencer Maxwell Eckler, Andrew Barszczyk, Alex Waese-Perlman, Yingjie Wang, Xiaoping Gu, Feng Zhang, Yongjun Peng, Kang Lee
Software Mentions: 1
Published: over 5 years ago
10.3389/fped.2020.570834
Comparison of Machine Learning Models for Prediction of Initial Intravenous Immunoglobulin Resistance in Children With Kawasaki Disease
Cited by: 4
Author(s): Yasutaka Kuniyoshi, Haruka Tokutake, Natsuki Takahashi, Azusa Kamura, Sumie Yasuda, M. Tashiro
Software Mentions: 1
Published: over 5 years ago
10.3389/fphar.2017.00816
Novel Two-Step Classifier for Torsades de Pointes Risk Stratification from Direct Features
Cited by: 34
Author(s): Jaimit Parikh, Viatcheslav Gurev, John Jeremy Rice
Software Mentions: 1
Published: almost 9 years ago
10.3389/fphar.2018.01036
Identification of Antioxidant Proteins With Deep Learning From Sequence Information
Cited by: 12
Author(s): Lifen Shao, Hui Gao, Zhen Liu, Juan Feng, Lixia Tang, Hao Lin
Software Mentions: 1
Published: almost 8 years ago
10.1186/s12911-015-0206-y
Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods
Cited by: 50
Author(s): Alexander Decruyenaere, Philippe Decruyenaere, Patrick Peeters, Frank Vermassen, Tom Dhaene, Ivo Couckuyt
Software Mentions: 1
Published: almost 11 years ago
10.3389/fphar.2019.01570
Chinese Herbal Medicine (MaZiRenWan) Improves Bowel Movement in Functional Constipation Through Down-Regulating Oleamide
Cited by: 9
Author(s): Tao Huang, Ling Zhao, Chengyuan Lin, Lin Lü, Ziwan Ning, Dong-Dong Hu, Linda L. D. Zhong, Zhijun Yang, Zhaoxiang Bian
Software Mentions: 1
Published: over 6 years ago
10.3389/fphar.2020.00069
Predicting or Pretending: Artificial Intelligence for Protein-Ligand Interactions Lack of Sufficiently Large and Unbiased Datasets
Cited by: 71
Author(s): Jincai Yang, Cheng Shen, Niu Huang
Software Mentions: 1
Published: over 6 years ago
10.3389/fphar.2019.00913
Identification of Novel Antibacterials Using Machine Learning Techniques
Cited by: 27
Author(s): Yan A. Ivanenkov, Alex Zhavoronkov, R. S. Yamidanov, Ilya А. Osterman, Петр В. Сергиев, Vladimir Aladinskiy, Anastasia V. Aladinskaya, Victor A Terentiev, Mark S. Veselov, Andrey A. Ayginin, В. Г. Карцев, Dmitry A. Skvortsov, А. В. Чемерис, Alexey Kh Baimiev, Alina A. Sofronova, Alexander S. Malyshev, Gleb I. Filkov, Dmitry S. Bezrukov, Bogdan Zagribelnyy, Evgeny Putin, Maria M Puchinina, Olga А. Dontsova
Software Mentions: 1
Published: about 7 years ago
10.3389/fphar.2020.00112
EXP2SL: A Machine Learning Framework for Cell-Line-Specific Synthetic Lethality Prediction
Cited by: 13
Author(s): Fangping Wan, Shuya Li, Tingzhong Tian, Yipin Lei, Dan Zhao, Jianyang Zeng
Software Mentions: 1
Published: over 6 years ago
10.1007/s10439-020-02591-0
Quantification of Myocardial Blood Flow by Machine Learning Analysis of Modified Dual Bolus MRI Examination
Cited by: 2
Author(s): Minna Husso, Isaac O. Afara, Mikko J. Nissi, Antti Kuivanen, Paavo Halonen, Miikka Tarkia, Jarmo Teuho, Virva Saunavaara, Pauli Vainio, Petri Sipola, Hannu Manninen, Seppo Ylä‐Herttuala, Juhani Knuuti, Juha Töyräs
Software Mentions: 1
Published: about 6 years ago
10.3389/fphys.2020.572874
In silico Comparison of Left Atrial Ablation Techniques That Target the Anatomical, Structural, and Electrical Substrates of Atrial Fibrillation
Cited by: 34
Author(s): Caroline Roney, Marianne Beach, Arihant Mehta, Iain Sim, Cesare Corrado, Rokas Bendikas, José Alonso Solís-Lemus, Orod Razeghi, John Whitaker, Louisa O’Neill, Gernot Plank, Edward J. Vigmond, Steven E. Williams, Mark O’Neill, Steven Niederer
Software Mentions: 1
Published: almost 6 years ago
10.3389/fphys.2021.674106
Toward Patient-Specific Prediction of Ablation Strategies for Atrial Fibrillation Using Deep Learning
Cited by: 10
Author(s): Marica Muffoletto, Ahmed Qureshi, Aya Mutaz Zeidan, Laila Muizniece, Xiao Fu, Jichao Zhao, Aditi Roy, Paul A. Bates, Oleg Aslanidi
Software Mentions: 1
Published: over 5 years ago
10.3389/fphys.2021.704122
Deep Learning Classification of Unipolar Electrograms in Human Atrial Fibrillation: Application in Focal Source Mapping
Cited by: 7
Author(s): S. Matthew Liao, Don Ragot, Sachin Nayyar, Adrian Suszko, Zhaolei Zhang, Bo Wang, Vijay S. Chauhan
Software Mentions: 1
Published: about 5 years ago
10.3389/fpls.2018.00603
Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging
Cited by: 81
Author(s): Jieni Yao, Dawei Sun, Haiyan Cen, Haixia Xu, Haiyong Weng, Fang Yuan, Yong He
Software Mentions: 1
Published: over 8 years ago
10.3389/fpls.2016.01936
A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis
Cited by: 38
Author(s): Ying Ni, Delasa Aghamirzaie, Haitham Elmarakeby, Eva Collakova, Li Song, Ruth Grene, Lenwood S. Heath
Software Mentions: 1
Published: over 9 years ago
10.3389/fpls.2018.01734
A Pipeline for Classifying Deleterious Coding Mutations in Agricultural Plants
Cited by: 7
Author(s): Maxim S. Kovalev, Anna A. Igolkina, Maria Samsonova, Sergey V. Nuzhdin
Software Mentions: 1
Published: almost 8 years ago
10.3389/fpls.2020.590529
Machine Learning Techniques for Soybean Charcoal Rot Disease Prediction
Cited by: 20
Author(s): Elham Khalili, Samaneh Kouchaki, Shahin Ramazi, Faezeh Ghanati
Software Mentions: 1
Published: over 5 years ago
10.3389/fpls.2016.01451
Better Than Nothing? Limitations of the Prediction Tool SecretomeP in the Search for Leaderless Secretory Proteins (LSPs) in Plants
Cited by: 23
Author(s): Andrew Lonsdale, Melissa J. Davis, Monika S. Doblin, Antony Bacic
Software Mentions: 1
Published: almost 10 years ago
10.3389/fpls.2019.00227
Leaf-Movement-Based Growth Prediction Model Using Optical Flow Analysis and Machine Learning in Plant Factory
Cited by: 25
Author(s): Shogo Nagano, Shogo Moriyuki, Kazumasa Wakamori, Hiroshi Mineno, Hirokazu Fukuda
Software Mentions: 1
Published: over 7 years ago
10.3389/fpls.2019.01281
Mapping Aboveground Biomass of Four Typical Vegetation Types in the Poyang Lake Wetlands Based on Random Forest Modelling and Landsat Images
Cited by: 18
Author(s): Rongrong Wan, Peng Wang, Xiaolong Wang, Xing Yao, Xue Dai
Software Mentions: 1
Published: almost 7 years ago
10.1186/s12911-020-01215-w
Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study
Cited by: 11
Author(s): Oleg G. Metsker, Kirill Magoev, Alexey N. Yakovlev, S. N. Yanishevskiy, Georgy Kopanitsa, Sergey V. Kovalchuk, Valeria V. Krzhizhanovskaya
Software Mentions: 1
Published: about 6 years ago
10.1109/TBME.2018.2890167
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue
Cited by: 23
Author(s): Yutao Ma, Tao Xu, Xiaolei Huang, Xiaofang Wang, Canyu Li, Jason Jerwick, Naichang Yuan, Xiaomao Zeng, Bo Wang, Yihong Wang, Zhan Zhang, Xiaoan Zhang, Chao Zhou
Software Mentions: 1
Published: about 7 years ago
10.1186/s12911-021-01514-w
Bayesian network models with decision tree analysis for management of childhood malaria in Malawi
Cited by: 4
Author(s): Sanya Bathla Taneja, Gerald P. Douglas, Gregory F. Cooper, Marian G. Michaels, Marek J. Drużdżel, Shyam Visweswaran
Software Mentions: 1
Published: over 5 years ago
10.1186/s40192-015-0042-z
Machine learning approaches for elastic localization linkages in high-contrast composite materials
Cited by: 52
Author(s): Ruoqian Liu, Yuksel C. Yabansu, Ankit Agrawal, Surya R. Kalidindi, Alok Choudhary
Software Mentions: 1
Published: almost 11 years ago
10.1155/2016/5080746
Evaluation and Verification of the Global Rapid Identification of Threats System for Infectious Diseases in Textual Data Sources
Cited by: 7
Author(s): Andy Huff, Nathan Breit, Talli Allen, Karissa Whiting, Christopher Kiley
Software Mentions: 1
Published: over 10 years ago
10.1186/s12911-021-01506-w
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation
Cited by: 8
Author(s): Behrooz Mamandipoor, Fernando Frutos‐Vivar, Óscar Peñuelas, Richard Rezar, Konstantinos Raymondos, Alfonso Muriel, Bin Du, Arnaud W. Thille, Fernando Ríos, Marco González, Lorenzo del-Sorbo, María del Carmen Marín, Bruno Valle Pinheiro, Marco Antonio Soares, Nicolás Nín, Salvatore Maurizio Maggiore, Andrew D. Bersten, Malte Kelm, Raphael Romano Bruno, Pravin Amin, Nahit Çakar, Gee Young Suh, Fékri Abroug, Manuel Jibaja, Dimitros Matamis, Amine Ali Zeggwagh, Yuda Sutherasan, Antonio Anzueto, Bernhard Wernly, Andrés Esteban, Christian Jung, Venet Osmani
Software Mentions: 1
Published: over 5 years ago
10.1001/jamanetworkopen.2019.14051
Trends and Focus of Machine Learning Applications for Health Research
Cited by: 39
Author(s): Brett K. Beaulieu‐Jones, Samuel G. Finlayson, Corey Chivers, Irene Chen, Matthew B. A. McDermott, Jaz Kandola, Adrian V. Dalca, Andrew L. Beam, Madalina Fiterau, Tristan Naumann
Software Mentions: 1
Published: almost 7 years ago
10.1001/jamanetworkopen.2020.6653
Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression
Cited by: 40
Author(s): Pranav Rajpurkar, Jingbo Yang, Nathan Dass, Vinjai Vale, Arielle S. Keller, Jeremy Irvin, Zachary Taylor, Sanjay Basu, Andrew Y. Ng, Leanne M. Williams
Software Mentions: 1
Published: about 6 years ago
10.1001/jamanetworkopen.2020.20485
Association of Mobile Phone Location Data Indications of Travel and Stay-at-Home Mandates With COVID-19 Infection Rates in the US
Cited by: 141
Author(s): Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse, Dörte Döpfer, Ajay K. Sethi, J. Reyes, Brian S. Yandell, Jonathan A. Patz
Software Mentions: 1
Published: almost 6 years ago
10.1001/jamanetworkopen.2020.26750
Predictive Modeling for Perinatal Mortality in Resource-Limited Settings
Cited by: 30
Author(s): Vivek V. Shukla, Barry Eggleston, Namasivayam Ambalavanan, Elizabeth M McClure, Musaku Mwenechanya, Elwyn Chomba, Carl Bose, Melissa Bauserman, Antoinette Tshefu, Shivaprasad S. Goudar, Richard Derman, Ana Garcés, Nancy F. Krebs, Sarah Saleem, Robert L. Goldenberg, Archana Patel, Patricia L. Hibberd, Fabian Esamai, Sherri Bucher, Edward A. Liechty, Marion Koso‐Thomas, Waldemar A. Carlo
Software Mentions: 1
Published: almost 6 years ago
10.1001/jamanetworkopen.2020.30939
Development and Validation of a Deep Learning Model to Quantify Glomerulosclerosis in Kidney Biopsy Specimens
Cited by: 26
Author(s): Jon N. Marsh, Ta‐Chiang Liu, Parker C. Wilson, S. Joshua Swamidass, Joseph P. Gaut
Software Mentions: 1
Published: over 5 years ago
10.1001/jamanetworkopen.2020.36220
Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network
Cited by: 2
Author(s): Hadi Amiri, Isaac S. Kohane
Software Mentions: 1
Published: over 5 years ago
10.1001/jamanetworkopen.2021.7746
Genomic Epidemiology of SARS-CoV-2 Infection During the Initial Pandemic Wave and Association With Disease Severity
Cited by: 27
Author(s): Frank Esper, Yu‐Wei Cheng, Thamali M Adhikari, Zheng Jin Tu, Derek Li, Erik A Li, Daniel H. Farkas, Gary W. Procop, Jennifer S. Ko, Timothy A. Chan, Lara Jehi, Brian P. Rubin, Jing Li
Software Mentions: 1
Published: over 5 years ago
10.1186/s12911-018-0676-9
Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research
Cited by: 7
Author(s): Xiangrui Li, Dongxiao Zhu, Phillip D. Levy
Software Mentions: 1
Published: almost 8 years ago
10.1001/jamapediatrics.2020.5227
Translation of a Host Blood RNA Signature Distinguishing Bacterial From Viral Infection Into a Platform Suitable for Development as a Point-of-Care Test
Cited by: 27
Author(s): Ivana Pennisi, Jesús Rodríguez-Manzano, Ahmad Moniri, Myrsini Kaforou, Jethro Herberg, Michael Levin, Pantelis Georgiou
Software Mentions: 1
Published: over 5 years ago
10.1093/jamiaopen/ooaa001
Efficient goal attainment and engagement in a care manager system using unstructured notes
Cited by: 0
Author(s): Sara Rosenthal, Subhro Das, Pei-Yun Sabrina Hsueh, Ken Barker, Ching-Hua Chen
Software Mentions: 1
Published: over 6 years ago
10.1172/jci.insight.93344
Endothelium-derived extracellular vesicles promote splenic monocyte mobilization in myocardial infarction
Cited by: 70
Author(s): Naveed Akbar, Janet E. Digby, Thomas J. Cahill, Aniket Tavare, Alastair Corbin, Sonia Saluja, Sam Dawkins, Laurienne Edgar, Nadiia Rawlings, Klemen Žiberna, Eileen McNeill, Errin Johnson, Alaa A. A. Aljabali, Rebecca Dragovic, Mala Rohling, T. Grant Belgard, Irina A. Udalova, David R. Greaves, Keith M. Channon, Paul R. Riley, Daniel C. Anthony, R P Choudhury
Software Mentions: 1
Published: almost 9 years ago
10.1172/jci.insight.144779
Deep learning–based molecular morphometrics for kidney biopsies
Cited by: 25
Author(s): Marina Zimmermann, Martin Klaus, Milagros Wong, Ann-Katrin Thebille, Lukas Gernhold, Christoph Kuppe, Maurice Halder, Jennifer Kranz, Nicola Wanner, Fabian Braun, Sonia Wulf, Thorsten Wiech, Ulf Panzer, Christian Krebs, Elion Hoxha, Rafael Kramann, Tobias B. Huber, Stefan Bonn, Victor G. Puelles
Software Mentions: 1
Published: over 5 years ago
10.3390/ijms22136791
Using RNA-Sequencing Data to Examine Tissue-Specific Garlic Microbiomes
Cited by: 7
Author(s): Yeonhwa Jo, Chang–Gi Back, Kook‐Hyung Kim, Hyosub Chu, Jeong Hun Lee, Sang Hyun Moh, Won Kyong Cho
Software Mentions: 1
Published: about 5 years ago
10.1200/CCI.17.00065
Deep Learning–Based Survival Analysis Identified Associations Between Molecular Subtype and Optimal Adjuvant Treatment of Patients With Gastric Cancer
Cited by: 13
Author(s): Jeeyun Lee, Ji Yeong An, Min Gew Choi, Se Hoon Park, Seung Tae Kim, Jun Ho Lee, Tae Sung Sohn, Jae Moon Bae, Sung Hoon Kim, Hyuk Lee, Byung-Hoon Min, Jae J. Kim, Woo Kyoung Jeong, Dongil Choi, Kyoung‐Mee Kim, Won Ki Kang, Mi‐Jung Kim, Sung Wook Seo
Software Mentions: 1
Published: almost 8 years ago
10.1200/CCI.19.00136
Predicting Lung Cancer Survival Using Probabilistic Reclassification of TNM Editions With a Bayesian Network
Cited by: 3
Author(s): Melle Sieswerda, Iñigo Bermejo, Gijs Geleijnse, Mieke J. Aarts, Valery Lemmens, Dirk De Ruysscher, André Dekker, Xander Verbeek
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12911-020-01297-6
Combining structured and unstructured data for predictive models: a deep learning approach
Cited by: 80
Author(s): Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan, Ping Zhang
Software Mentions: 1
Published: almost 6 years ago
10.1155/2019/1537568
Tracing Geographical Origins of Teas Based on FT-NIR Spectroscopy: Introduction of Model Updating and Imbalanced Data Handling Approaches
Cited by: 16
Author(s): Xiaopeng Hong, Xian-Shu Fu, Zhengliang Wang, Li Zhang, Xiaoping Yu, Zihong Ye
Software Mentions: 1
Published: over 7 years ago
10.1074/jbc.M117.810945
Single-subunit oligosaccharyltransferases of Trypanosoma brucei display different and predictable peptide acceptor specificities
Cited by: 13
Author(s): Anders Jinnelöv, Liaqat Ali, Michele Tinti, Maria Lucia S. Güther, Michael A. J. Ferguson
Software Mentions: 1
Published: almost 9 years ago
10.3390/ijms22147721
Performance Comparisons of AlexNet and GoogLeNet in Cell Growth Inhibition IC50 Prediction
Cited by: 8
Author(s): Yeeun Lee, Seungyoon Nam
Software Mentions: 1
Published: about 5 years ago
10.1117/1.JBO.24.7.071606
Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging
Cited by: 36
Author(s): Swapnesh Panigrahi, Sylvain Gioux
Software Mentions: 1
Published: over 7 years ago
10.1186/s12911-020-01380-y
Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women
Cited by: 7
Author(s): Kai-Leun Tsai, Che-Chang Chang, Yu‐Sheng Chang, Yiying Lu, I-Jung Tsai, Jinhua Chen, Sheng-Hong Lin, Chih-Chun Tai, Yi-Fang Lin, Hui‐Wen Chang, Chun–Ming Lin, Emily Chia-Yu Su
Software Mentions: 1
Published: over 5 years ago
10.1186/s13326-020-00221-1
Neural side effect discovery from user credibility and experience-assessed online health discussions
Cited by: 1
Author(s): Van-Hoang Nguyen, Kazunari Sugiyama, Min-Yen Kan, Kishaloy Halder
Software Mentions: 1
Published: about 6 years ago
10.7150/jca.37006
A Panel of Urinary Long Non-coding RNAs Differentiate Bladder Cancer from Urocystitis
Cited by: 24
Author(s): Xiao Yu, Ruiwei Wang, Chenglin Han, Zilong Wang, Xunbo Jin
Software Mentions: 1
Published: over 6 years ago
10.1186/s12911-020-01131-z
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks
Cited by: 17
Author(s): Laura Kinkead, Ahmed Allam, Michael Krauthammer
Software Mentions: 1
Published: about 6 years ago
10.3390/jcdd8060065
Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation Study
Cited by: 3
Author(s): Marco Mamprin, Ricardo R. Lopes, Jo M. Zelis, Pim A.L. Tonino, Martijn S. van Mourik, Marije M. Vis, Svitlana Zinger, Bas A.J.M. de Mol, Peter H. N. de With
Software Mentions: 1
Published: about 5 years ago
10.3390/ani11092660
Training and Validating a Machine Learning Model for the Sensor-Based Monitoring of Lying Behavior in Dairy Cows on Pasture and in the Barn
Cited by: 9
Author(s): Lara Schmeling, Golnaz Elmamooz, Phan Thai Hoang, Anastasiia Kozar, Daniela Nicklas, Michael Sünkel, S. Thurner, E. Rauch
Software Mentions: 1
Published: almost 5 years ago
10.1021/acs.jcim.1c00451
ChemBioSim: Enhancing Conformal Prediction of In Vivo Toxicity by Use of Predicted Bioactivities
Cited by: 12
Author(s): Marina Garcia de Lomana, Andrea Morger, Ulf Norinder, Roland Buesen, Robert Landsiedel, Andrea Volkamer, Johannes Kirchmair, Miriam Mathea
Software Mentions: 1
Published: about 5 years ago
10.1021/acs.jctc.0c00961
Per|Mut: Spatially Resolved Hydration Entropies from Atomistic Simulations
Cited by: 12
Author(s): Leonard P. Heinz, Helmut Grubmüller
Software Mentions: 1
Published: over 5 years ago
10.1186/s12911-021-01562-2
On the predictability of postoperative complications for cancer patients: a Portuguese cohort study
Cited by: 3
Author(s): Daniel Gonçalves, Rui Henriques, Lúcio Lara Santos, Rafael S. Costa
Software Mentions: 1
Published: about 5 years ago
10.3390/ijms22158027
PON-Sol2: Prediction of Effects of Variants on Protein Solubility
Cited by: 9
Author(s): Yang Yang, Lianjie Zeng, Mauno Vihinen
Software Mentions: 1
Published: about 5 years ago
10.1186/s13321-016-0124-8
GPURFSCREEN: a GPU based virtual screening tool using random forest classifier
Cited by: 18
Author(s): P. B. Jayaraj, Mathias K. Ajay, M. Nufail, G Gopakumar, U. C. Abdul Jaleel
Software Mentions: 1
Published: over 10 years ago
10.1186/s12911-019-1008-4
Novel prognostication of patients with spinal and pelvic chondrosarcoma using deep survival neural networks
Cited by: 19
Author(s): Sung Mo Ryu, Sung Wook Seo, Sun-Ho Lee
Software Mentions: 1
Published: over 6 years ago
10.1186/s12911-019-0782-3
Identifying peer experts in online health forums
Cited by: 15
Author(s): V. G. Vinod Vydiswaran, Manoj Reddy
Software Mentions: 1
Published: over 7 years ago
10.1186/s13321-018-0268-9
Spectrophores as one-dimensional descriptors calculated from three-dimensional atomic properties: applications ranging from scaffold hopping to multi-target virtual screening
Cited by: 13
Author(s): Rafaela Gladysz, Fábio Mendes dos Santos, Wilfried Langenaeker, Gert Thijs, Koen Augustyns, Hans De Winter
Software Mentions: 1
Published: over 8 years ago
10.1186/s13321-018-0275-x
Finding the molecular scaffold of nuclear receptor inhibitors through high-throughput screening based on proteochemometric modelling
Cited by: 5
Author(s): Tianyi Qiu, Dingfeng Wu, Jingxuan Qiu, Zhiwei Cao
Software Mentions: 1
Published: over 8 years ago
10.1186/s13321-018-0281-z
Effect of missing data on multitask prediction methods
Cited by: 27
Author(s): Antonio de la Vega de León, Beining Chen, Valerie J. Gillet
Software Mentions: 1
Published: over 8 years ago
10.1186/s12911-021-01489-8
Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods
Cited by: 6
Author(s): Huan Chen, Yingying Ma, Na Hong, Hao Wang, Longxiang Su, Chun Li, Jie He, Huizhen Jiang, Yun Long, Weiguo Zhu
Software Mentions: 1
Published: about 5 years ago
10.1186/s13321-019-0364-5
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
Cited by: 40
Author(s): Isidro Cortés-Ciriano, Andreas Bender
Software Mentions: 1
Published: about 7 years ago
10.1186/s13321-019-0368-1
Multi-channel PINN: investigating scalable and transferable neural networks for drug discovery
Cited by: 17
Author(s): Munhwan Lee, Hye-Yeon Kim, Hyunwhan Joe, Hong-Gee Kim
Software Mentions: 1
Published: about 7 years ago
10.1186/s13321-018-0310-y
Implicit-descriptor ligand-based virtual screening by means of collaborative filtering
Cited by: 10
Author(s): Raghuram Srinivas, Pavel V. Klimovich, Eric C. Larson
Software Mentions: 1
Published: almost 8 years ago
10.1186/s13321-020-0413-0
Evaluation of deep and shallow learning methods in chemogenomics for the prediction of drugs specificity
Cited by: 24
Author(s): Benoit Playe, Véronique Stoven
Software Mentions: 1
Published: over 6 years ago
10.2196/28361
Developing a time-adaptive prediction model for out-of-hospital cardiac arrest: Results from a nationwide cohort study in Korea (Preprint)
Cited by: 2
Author(s): Ji Woong
Software Mentions: 1
Published: over 5 years ago
10.1186/s13321-020-00434-7
Assessing the information content of structural and protein–ligand interaction representations for the classification of kinase inhibitor binding modes via machine learning and active learning
Cited by: 14
Author(s): Raquel Rodríguez-Pérez, Filip Miljković, Jürgen Bajorath
Software Mentions: 1
Published: over 6 years ago
10.1186/s12911-020-01326-4
Hyperchloremia in critically ill patients: association with outcomes and prediction using electronic health record data
Cited by: 9
Author(s): Pete Yeh, Yiheng Pan, L. Nelson Sanchez-Pinto, Yuan Luo
Software Mentions: 1
Published: almost 6 years ago
10.1186/s13321-020-00452-5
CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration
Cited by: 18
Author(s): Ryosuke Shibukawa, Shoichi Ishida, Kazuki Yoshizoe, Kiyotaka Wasa, Kiyosei Takasu, Yasushi Okuno, Kei Terayama, Koji Tsuda
Software Mentions: 1
Published: about 6 years ago
10.1186/s13321-020-00473-0
Memory-assisted reinforcement learning for diverse molecular de novo design
Cited by: 47
Author(s): Thomas Blaschke, Ola Engkvist, Jürgen Bajorath, Hongming Chen
Software Mentions: 1
Published: almost 6 years ago
10.2196/11756
Understanding User Experience: Exploring Participants’ Messages With a Web-Based Behavioral Health Intervention for Adolescents With Chronic Pain
Cited by: 5
Author(s): Annie Chen, Aarti Swaminathan, William R. Kearns, Nicole M. Alberts, Emily F. Law, Tonya M. Palermo
Software Mentions: 1
Published: over 7 years ago
10.1186/s13321-021-00499-y
Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models
Cited by: 10
Author(s): Annachiara Tinivella, Luca Pinzi, Giulio Rastelli
Software Mentions: 1
Published: over 5 years ago
10.1186/s12911-019-0781-4
Clinical text classification with rule-based features and knowledge-guided convolutional neural networks
Cited by: 76
Author(s): Yao Liang, Chengsheng Mao, Yuan Luo
Software Mentions: 1
Published: over 7 years ago
10.3390/ani11010050
Determination of Body Parts in Holstein Friesian Cows Comparing Neural Networks and k Nearest Neighbour Classification
Cited by: 7
Author(s): Jennifer Salau, Jan Haas, Wolfgang Junge, Georg Thaller
Software Mentions: 1
Published: over 5 years ago
10.1186/s12911-021-01582-y
Privacy-preserving dataset combination and Lasso regression for healthcare predictions
Cited by: 12
Author(s): Marie Beth van Egmond, Gabriele Spini, Onno van der Galiën, Arne IJpma, Thijs Veugen, Wessel Kraaij, Alex Sangers, Thomas Rooijakkers, Peter Langenkamp, Bart Kamphorst, Natasja van de L’Isle, Milena Kooij-Janic
Software Mentions: 1
Published: almost 5 years ago
10.1186/s12911-021-01591-x
Improvement of APACHE II score system for disease severity based on XGBoost algorithm
Cited by: 8
Author(s): Yan Luo, Zhiyu Wang, Cong Wang
Software Mentions: 1
Published: about 5 years ago
10.3390/jcm7090277
Development of a Prediction Model for Colorectal Cancer among Patients with Type 2 Diabetes Mellitus Using a Deep Neural Network
Cited by: 15
Author(s): Meng-Hsuen Hsieh, Li‐Min Sun, Cheng‐Li Lin, Meng-Ju Hsieh, Kyle Sun, Chung Y. Hsu, An‐Kuo Chou, Chia Hung Kao
Software Mentions: 1
Published: almost 8 years ago
10.3390/jcm7090240
An Artificial Neural Network Model for Predicting Successful Extubation in Intensive Care Units
Cited by: 38
Author(s): Meng-Hsuen Hsieh, Meng-Ju Hsieh, Chin‐Ming Chen, Chih-Chang Hsieh, Chien‐Ming Chao, Chih‐Cheng Lai
Software Mentions: 1
Published: about 8 years ago