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: about 2 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/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: about 7 years ago
10.1093/bioinformatics/btaa1102
SoluProt: prediction of soluble protein expression in <i>Escherichia coli</i>
Cited by: 50
Author(s): Jiří Hon, Martin Marusiak, Tomáš Martínek, Antonín Kunka, Jaroslav Zendulka, David Bednář, Jiřı́ Damborský
Software Mentions: 1
Published: almost 5 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: almost 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 5 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 6 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 5 years ago
10.2196/16042
Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine Learning
Cited by: 6
Author(s): Emily R. Pfaff, Miles Crosskey, Kenneth D. Morton, Ashok Krishnamurthy
Software Mentions: 1
Published: almost 6 years ago
10.2196/23930
Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study
Cited by: 20
Author(s): Tjardo Maarseveen, Timo Meinderink, Marcel J. T. Reinders, Johannes Knitza, Tom W J Huizinga, Arnd Kleyer, Dávid Simon, Erik B. van den Akker, Rachel Knevel
Software Mentions: 1
Published: almost 5 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: about 5 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 4 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: over 4 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 7 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: almost 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 7 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: almost 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: about 9 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 6 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: about 6 years ago
10.3389/fpls.2018.01102
On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties
Cited by: 46
Author(s): Salvador Gutiérrez, Juan Fernández‐Novales, María P. Diago, Javier Tardáguila
Software Mentions: 1
Published: over 7 years ago
10.3389/fpls.2020.575810
Wheat Kernel Variety Identification Based on a Large Near-Infrared Spectral Dataset and a Novel Deep Learning-Based Feature Selection Method
Cited by: 28
Author(s): Lei Zhou, Chu Zhang, Mohamed Farag Taha, Xinhua Wei, Yong He, Zhengjun Qiu, Yufei Liu
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpls.2019.00155
Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network
Cited by: 125
Author(s): Ke Lin, Liang Gong, Yongfeng Huang, Chengliang Liu, Junsong Pan
Software Mentions: 1
Published: over 6 years ago
10.3389/fpsyt.2020.531801
Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease Diagnosis
Cited by: 3
Author(s): Naoki Furutani, Yuta Nariya, Tetsuya Takahashi, Sarah Noto, Albert C. Yang, Tetsu Hirosawa, Masafumi Kameya, Yoshio Minabe, Mitsuru Kikuchi
Software Mentions: 1
Published: about 5 years ago
10.3389/fpsyt.2021.598518
Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability
Cited by: 9
Author(s): Pedro Ballester, Laura Tomaz da Silva, Matheus Marcon, Nathália Bianchini Esper, Benício N. Frey, Augusto Buchweitz, Felipe Meneguzzi
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyt.2021.728278
What Factors Are Most Closely Associated With Mood Disorders in Adolescents During the COVID-19 Pandemic? A Cross-Sectional Study Based on 1,771 Adolescents in Shandong Province, China
Cited by: 38
Author(s): Ziyuan Ren, Yaodong Xin, Zhong Lin Wang, Dexiang Liu, Roger Ho, Cyrus S.H. Ho
Software Mentions: 1
Published: about 4 years ago
10.3389/fpsyt.2020.00189
Proteomic Profiling as a Diagnostic Biomarker for Discriminating Between Bipolar and Unipolar Depression
Cited by: 9
Author(s): Sarah Kittel‐Schneider, Tim Hahn, F. Haenisch, Rhiannon V. McNeill, Andreas Reif, Sabine Bahn
Software Mentions: 1
Published: over 5 years ago
10.3389/fpsyt.2020.00144
Classification of Social Anxiety Disorder With Support Vector Machine Analysis Using Neural Correlates of Social Signals of Threat
Cited by: 13
Author(s): Mengqi Xing, Jacklynn M. Fitzgerald, Heide Klumpp
Software Mentions: 1
Published: over 5 years ago
10.3389/fpsyt.2020.593336
Ensemble Learning of Convolutional Neural Network, Support Vector Machine, and Best Linear Unbiased Predictor for Brain Age Prediction: ARAMIS Contribution to the Predictive Analytics Competition 2019 Challenge
Cited by: 18
Author(s): Baptiste Couvy‐Duchesne, Johann Faouzi, Benoît Martin, Elina Thibeau–Sutre, Adam Wild, Manon Ansart, Stanley Durrleman, Didier Dormont, Ninon Burgos, Olivier Colliot
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpsyt.2021.655292
Deep Neural Network to Differentiate Brain Activity Between Patients With First-Episode Schizophrenia and Healthy Individuals: A Multi-Channel Near Infrared Spectroscopy Study
Cited by: 12
Author(s): Po-Han Chou, Yun Han Yao, Rui Zheng, Yi Long Liou, Tsung Te Liu, Hsien Yuan Lane, Albert C. Yang, Shao-Cheng Wang
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyg.2021.647956
Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style
Cited by: 18
Author(s): Stephanie J. Eder, Andrew A. Nicholson, Michał Stefańczyk, Michał Pieniak, Judit Martínez-Molina, Ondra Pešout, Jakub Binter, Patrick Smela, Frank Scharnowski, David Steyrl
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyg.2021.604522
A Recurrent Neural Network for Attenuating Non-cognitive Components of Pupil Dynamics
Cited by: 1
Author(s): Sharath Koorathota, Kaveri A. Thakoor, Linbi Hong, Yaoli Mao, Patrick Adelman, Paul Sajda
Software Mentions: 1
Published: almost 5 years ago
10.3389/fpsyg.2020.551548
Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector Machine
Cited by: 13
Author(s): Johannes Burdack, Fabian Horst, Daniel Aragonés, Alexander Eekhoff, Wolfgang I. Schöllhorn
Software Mentions: 1
Published: about 5 years ago
10.1186/s13040-021-00262-x
A maximum flow-based network approach for identification of stable noncoding biomarkers associated with the multigenic neurological condition, autism
Cited by: 0
Author(s): Maya Varma, Kelley Paskov, Brianna Chrisman, Min Sun, Jae-Yoon Jung, Nate Stockham, Peter Washington, Dennis P. Wall
Software Mentions: 1
Published: over 4 years ago
10.3389/fpsyg.2018.01545
Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income Attainment
Cited by: 13
Author(s): William Heyward Hampton, Nima Asadi, Ingrid R. Olson
Software Mentions: 1
Published: about 7 years ago
10.1186/s13040-021-00276-5
Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
Cited by: 11
Author(s): Zhixuan Zeng, Shuo Yao, Jianfei Zheng, Xun Gong
Software Mentions: 1
Published: about 4 years ago
10.3389/fpubh.2021.630640
Work Habit-Related Sleep Debt; Insights From Factor Identification Analysis of Actigraphy Data
Cited by: 7
Author(s): Yuki Goto, Koichi Fujiwara, Yukiyoshi Sumi, Masahiro Matsuo, Manabu Kano, Hiroshi Kadotani
Software Mentions: 1
Published: over 4 years ago
10.3389/frobt.2018.00035
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence
Cited by: 35
Author(s): Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, David Dormagen, Fernando Wario, Tim Landgraf
Software Mentions: 1
Published: over 7 years ago
10.3389/frobt.2019.00077
Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments
Cited by: 2
Author(s): Kazuhiro Hishinuma, Hideaki Iiduka
Software Mentions: 1
Published: about 6 years ago
10.3389/frobt.2018.00085
Teaching a Robot Bimanual Hand-Clapping Games via Wrist-Worn IMUs
Cited by: 5
Author(s): Naomi T. Fitter, Katherine J. Kuchenbecker
Software Mentions: 1
Published: over 7 years ago
10.3389/frobt.2021.672315
Optical-Tactile Sensor for Lump Detection Using Pneumatic Control
Cited by: 6
Author(s): Jonathan Bewley, George P. Jenkinson, Antonia Tzemanaki
Software Mentions: 1
Published: over 4 years ago
10.3389/frobt.2019.00124
Tactile Signatures and Hand Motion Intent Recognition for Wearable Assistive Devices
Cited by: 7
Author(s): Thekla Stefanou, Greg Chance, Tareq Assaf, Sanja Dogramadzi
Software Mentions: 1
Published: almost 6 years ago
10.3389/frobt.2021.729832
Automatic Detection of Gaze and Body Orientation in Elementary School Classrooms
Cited by: 3
Author(s): Roberto Araya, Jorge Sossa-Rivera
Software Mentions: 1
Published: about 4 years ago
10.3389/frobt.2021.696587
Aiding Grasp Synthesis for Novel Objects Using Heuristic-Based and Data-Driven Active Vision Methods
Cited by: 1
Author(s): Sabhari Natarajan, Galen Brown, Berk Çallı
Software Mentions: 1
Published: over 4 years ago
10.3389/frobt.2020.522141
A Framework for Sensorimotor Cross-Perception and Cross-Behavior Knowledge Transfer for Object Categorization
Cited by: 5
Author(s): Gyan Tatiya, Ramtin Hosseini, Michael C. Hughes, Jivko Sinapov
Software Mentions: 1
Published: about 5 years ago
10.3389/frobt.2019.00092
Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric Bias
Cited by: 3
Author(s): Ryoichi Nakashima, Ryo Ozaki, Tadahiro Taniguchi
Software Mentions: 1
Published: about 6 years ago
10.3389/frobt.2020.00038
A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection
Cited by: 0
Author(s): Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Michael Tangermann
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 7 years ago
10.3389/fvets.2021.639249
Three-Dimensional Live Imaging of Bovine Preimplantation Embryos: A New Method for IVF Embryo Evaluation
Cited by: 4
Author(s): Yasumitsu Masuda, Ryo Hasebe, Yasushi Kuromi, Masayoshi Kobayashi, Kanako Urataki, Mitsugu Hishinuma, Tetsuya Ohbayashi, Ryo Nishimura
Software Mentions: 1
Published: over 4 years ago
10.2144/fsoa-2019-0131
Integrating computational lead optimization diagnostics with analog design and candidate selection
Cited by: 5
Author(s): Dimitar Yonchev, Jürgen Bajorath
Software Mentions: 1
Published: over 5 years ago
10.1534/g3.115.025882
Genome-Wide Analysis of the TORC1 and Osmotic Stress Signaling Network in<i>Saccharomyces cerevisiae</i>
Cited by: 9
Author(s): Jeremy Worley, Arron Sullivan, Xiangxia Luo, Matt Kaplan, Andrew P. Capaldi
Software Mentions: 1
Published: almost 10 years ago
10.1186/s13568-016-0260-6
Disruption of Pseudomonas putida by high pressure homogenization: a comparison of the predictive capacity of three process models for the efficient release of arginine deiminase
Cited by: 15
Author(s): Mahesh D. Patil, Gopal Patel, Balaji Surywanshi, Naeem Shaikh, Prabha Garg, Yusuf Chisti, Uttam Chand Banerjee
Software Mentions: 1
Published: about 9 years ago
10.1534/g3.120.401122
QTG-Finder2: A Generalized Machine-Learning Algorithm for Prioritizing QTL Causal Genes in Plants
Cited by: 6
Author(s): Fan Lin, Elena Lazarus, Seung Y. Rhee
Software Mentions: 1
Published: over 5 years ago
10.2196/15932
Prediction of Cardiac Arrest in the Emergency Department Based on Machine Learning and Sequential Characteristics: Model Development and Retrospective Clinical Validation Study
Cited by: 19
Author(s): Sungchul Hong, Sungjoo Lee, Jeong-Hoon Lee, Won Chul, Kyunga Kim
Software Mentions: 1
Published: over 5 years ago
10.2196/mental.4822
Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality
Cited by: 140
Author(s): Scott R. Braithwaite, Christophe Giraud‐Carrier, Josh West, Michael Barnes, Carl L. Hanson
Software Mentions: 1
Published: over 9 years ago
10.2196/19348
Utilizing Machine Learning on Internet Search Activity to Support the Diagnostic Process and Relapse Detection in Young Individuals With Early Psychosis: Feasibility Study
Cited by: 9
Author(s): Michael L. Birnbaum, Prathamesh Kulkarni, Anna Van Meter, Victor Chen, Asra Ali, Elizabeth Arenare, Munmun De Choudhury, John M. Kane
Software Mentions: 1
Published: about 5 years ago
10.2196/12371
Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning
Cited by: 11
Author(s): Samantha Teague, Adrian Shatte
Software Mentions: 1
Published: almost 7 years ago
10.3390/genes10100812
Identification of Key Genes for the Precise Classification between Solenopsis invicta and S. geminata Facilitating the Quarantine Process
Cited by: 2
Author(s): Kil-Hyun Kim, Jisu Kim, Hyun-Ji Cho, Jong-Ho Lee, Tae-Hwan Jun, Yang-Jae Kang
Software Mentions: 1
Published: about 6 years ago
10.3390/genes10110836
Deregulated Adhesion Program in Palatal Keratinocytes of Orofacial Cleft Patients
Cited by: 1
Author(s): Aysel Mammadova, Carine Carels, Jie Zhou, Christian Gilissen, Maria P. A. C. Helmich, Zhuan Bian, Huiqing Zhou, Johannes W. Von den Hoff
Software Mentions: 1
Published: about 6 years ago
10.2196/26719
Automated Travel History Extraction From Clinical Notes for Informing the Detection of Emergent Infectious Disease Events: Algorithm Development and Validation
Cited by: 2
Author(s): Kelly Peterson, Julia M. Lewis, Olga V. Patterson, A Chapman, Daniel W. Denhalter, Patricia A. Lye, Vanessa Stevens, Shantini D. Gamage, Gary A. Roselle, Katherine Wallace, Makoto Jones
Software Mentions: 1
Published: over 4 years ago
10.3390/genes12040564
OTUs and ASVs Produce Comparable Taxonomic and Diversity from Shrimp Microbiota 16S Profiles Using Tailored Abundance Filters
Cited by: 19
Author(s): Rodrigo García-López, Fernanda Cornejo‐Granados, Alonso A. López-Zavala, Andrés Cota-Huízar, Rogerio R. Sotelo‐Mundo, Bruno Gómez‐Gil, Adrián Ochoa-Leyva
Software Mentions: 1
Published: over 4 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 7 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 7 years ago
10.1534/genetics.120.303093
Machine Learning Techniques for Classifying the Mutagenic Origins of Point Mutations
Cited by: 7
Author(s): Yicheng Zhu, Cheng Soon Ong, Gavin A. Huttley
Software Mentions: 1
Published: over 5 years ago
10.2196/24132
Improving Detection of Disease Re-emergence Using a Web-Based Tool (RED Alert): Design and Case Analysis Study
Cited by: 0
Author(s): Nidhi Parikh, Ashlynn R. Daughton, William Rosenberger, Derek Aberle, Maneesha Elizabeth Chitanvis, Forest Michael Altherr, Nileena Velappan, Geoffrey Fairchild, Alina Deshpande
Software Mentions: 1
Published: almost 5 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: over 5 years ago
10.1186/s13059-017-1217-z
Optimizing complex phenotypes through model-guided multiplex genome engineering
Cited by: 22
Author(s): Gleb Kuznetsov, Daniel B. Goodman, Gabriel T. Filsinger, Matthieu Landon, Nadin Rohland, John Aach, Marc J. Lajoie, George M. Church
Software Mentions: 1
Published: over 8 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 4 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: about 10 years ago
10.3390/ijerph15091881
Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity
Cited by: 50
Author(s): Sina Keller, Philipp Maier, Felix M. Riese, Stefan Norra, Andreas Holbach, Nicolas Börsig, Andre Wilhelms, Christian Moldaenke, André Zaake, Stefan Hinz
Software Mentions: 1
Published: about 7 years ago
10.1186/s13059-019-1784-2
A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell types
Cited by: 37
Author(s): Maxwell W. Libbrecht, Oscar L. Rodriguez, Zhiping Weng, Jeffrey A. Bilmes, Michael M. Hoffman, William Stafford Noble
Software Mentions: 1
Published: about 6 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 5 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 4 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 5 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 4 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 7 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: about 5 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 4 years ago
10.18632/aging.102900
Prediction of chronological and biological age from laboratory data
Cited by: 15
Author(s): Luke Sagers, Luke Melas-Kyriazi, Chirag Patel, Arjun K. Manrai
Software Mentions: 1
Published: over 5 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: 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: over 4 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: almost 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 6 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: over 4 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 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 6 years ago
10.1186/s13073-015-0189-4
Inferring pathway dysregulation in cancers from multiple types of omic data
Cited by: 13
Author(s): Shelley M. MacNeil, W. Evan Johnson, Dean Y. Li, Stephen R. Piccolo, Andrea Bild
Software Mentions: 1
Published: over 10 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: about 4 years ago
10.1186/s13073-018-0571-0
Exploring the OncoGenomic Landscape of cancer
Cited by: 7
Author(s): Lídia Mateo, Oriol Guitart-Pla, Miquel Duran‐Frigola, Patrick Aloy
Software Mentions: 1
Published: over 7 years ago
10.1186/s13073-020-00775-w
CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations
Cited by: 26
Author(s): Shuang Li, K. Joeri van der Velde, Dick de Ridder, Aalt D. J. van Dijk, Dimitrios Soudis, Leslie R. Zwerwer, Patrick Deelen, Dennis Hendriksen, Bart Charbon, Mariëlle van Gijn, Kristin M. Abbott, Birgit Sikkema‐Raddatz, Cleo C. van Diemen, Wilhelmina S. Kerstjens‐Frederikse, Richard J. Sinke, Morris A. Swertz
Software Mentions: 1
Published: about 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 4 years ago
10.3390/ijerph17072437
Quantifying the Effects of Visual Road Information on Drivers’ Speed Choices to Promote Self-Explaining Roads
Cited by: 7
Author(s): Yuting Qin, Yu-Ren Chen, Kun-Peng Lin
Software Mentions: 1
Published: over 5 years ago
10.5808/GI.2019.17.3.e30
Deep learning for stage prediction in neuroblastoma using gene expression data
Cited by: 5
Author(s): Aron Park, Seungyoon Nam
Software Mentions: 1
Published: about 6 years ago
10.3390/ijerph17082788
Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China
Cited by: 231
Author(s): Xuehua Han, Juanle Wang, Min Zhang, Xiaojie Wang
Software Mentions: 1
Published: over 5 years ago
10.1093/gigascience/gix115
CNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populations
Cited by: 71
Author(s): Xihong Wang, Zhuqing Zheng, Yi Cai, Ting Chen, Chao Li, Weiwei Fu, Yu Jiang
Software Mentions: 1
Published: almost 8 years ago
10.1186/s12880-021-00660-x
Intelligent localization and quantitative evaluation of anterior talofibular ligament injury using magnetic resonance imaging of ankle
Cited by: 3
Author(s): Wen Yan, Xiangjun Meng, Jinglai Sun, Hui Yu, Zhi Wang
Software Mentions: 1
Published: about 4 years ago
10.1186/s12880-019-0392-7
MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features
Cited by: 58
Author(s): Xiaolu Ma, Shoukuan Fu, Yan Jia, Yuwei Xia, Yongling Li, Jianping Lu
Software Mentions: 1
Published: almost 6 years ago
10.1186/s12880-021-00560-0
Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models
Cited by: 18
Author(s): Zhihui Li, Xiaolu Ma, Shoukuan Fu, Haidi Lu, Yuwei Xia, Jianping Lu
Software Mentions: 1
Published: over 4 years ago
10.3390/ijerph17145145
Mapping the Potential Distribution of Major Tick Species in China
Cited by: 9
Author(s): Xin Yang, Gengfeng Zheng, Tiangang Zhou, Jian Zhang, Luqi Wang, Lingjun Xiao, Hongjuan Wu, Sen Li
Software Mentions: 1
Published: over 5 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: almost 7 years ago
10.3390/s17071535
An Automatic Car Counting System Using OverFeat Framework
Cited by: 24
Author(s): Debojit Biswas, Hongbo Su, Chengyi Wang, Jason Blankenship, Aleksandar Stevanovic
Software Mentions: 1
Published: over 8 years ago
10.3390/s17091967
Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT
Cited by: 180
Author(s): Manuel López-Martín, Belén Carro, Antonio Sánchez-Esguevillas, Jaime Lloret
Software Mentions: 1
Published: about 8 years ago