pypi: imblearn | Projects | Ecosyste.ms: Papers

10.3390/jpm10040214

Prediction of Mental Illness in Heart Disease Patients: Association of Comorbidities, Dietary Supplements, and Antibiotics as Risk Factors
Cited by: 3
Author(s): Jayanth Sivakumar, Saba Ahmed, Lina Begdache, Swati Jain, Daehan Won
Software Mentions: 9
Published: almost 4 years ago

10.3389/fneur.2021.713794

Seizure Forecasting Using a Novel Sub-Scalp Ultra-Long Term EEG Monitoring System
Cited by: 35
Author(s): Rachel E Stirling, Matias I. Maturana, Philippa J Karoly, Ewan S. Nurse, Kate McCutcheon, David B. Grayden, Steven G. Ringo, John M. Heasman, R. J. Hoare, Alan Lai, Wendyl D’Souza, Udaya Seneviratne, Linda Seiderer, Karen J. McLean, Kristian J Bulluss, Michael A. Murphy, Benjamin H. Brinkmann, Mark P. Richardson, Dean R. Freestone, Mark Cook
Software Mentions: 9
Published: about 3 years ago

10.1038/s41598-020-73978-1

Data based predictive models for odor perception
Cited by: 27
Author(s): Rinu Chacko, Deepak Jain, Manasi Patwardhan, Abhishek Puri, Shirish Karande, Beena Rai
Software Mentions: 8
Published: almost 4 years ago

10.1186/s13321-021-00552-w

DTi2Vec: Drug–target interaction prediction using network embedding and ensemble learning
Cited by: 20
Author(s): Maha A. Thafar, Rawan S. Olayan, Somayah Albaradei, Vladimir B. Bajic, Takashi Gojobori, Magbubah Essack, Xin Gao
Software Mentions: 6
Published: almost 3 years ago

10.3390/jcm9082603

Prediction of Adverse Events in Stable Non-Variceal Gastrointestinal Bleeding Using Machine Learning
Cited by: 8
Author(s): Dong-Woo Seo, Hahn Yi, Beomhee Park, Youn-Jung Kim, Dong Hwan Jung, Ilsang Woo, Chang Hwan Sohn, Byuk Sung Ko, Namkug Kim, Won Young Kim
Software Mentions: 5
Published: about 4 years ago

10.1186/s13073-019-0679-x

pTuneos: prioritizing tumor neoantigens from next-generation sequencing data
Cited by: 36
Author(s): Chi Zhou, Zhiting Wei, Zhanbing Zhang, Biyu Zhang, Chenyu Zhu, Ke Chen, Guohui Chuai, Sheng Qu, Lu Xie, Yong Gao, Qi Liu
Software Mentions: 5
Published: almost 5 years ago

10.2196/16117

Predicting Adverse Outcomes for Febrile Patients in the Emergency Department Using Sparse Laboratory Data: Development of a Time Adaptive Model
Cited by: 3
Author(s): Sungjoo Lee, Sungchul Hong, Won Chul, Kyunga Kim
Software Mentions: 4
Published: over 4 years ago

10.1128/mSystems.00211-19

Identification of Primary Antimicrobial Resistance Drivers in Agricultural Nontyphoidal Salmonella enterica Serovars by Using Machine Learning
Cited by: 16
Author(s): Finlay Maguire, Muhammad Attiq Rehman, Catherine D. Carrillo, Moussa S. Diarra, Robert G. Beiko
Software Mentions: 4
Published: about 5 years ago

10.3390/ijms21239070

A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification
Cited by: 45
Author(s): Nguyen Quoc Khanh Le, Duyen Thi, Truong Nguyen Khanh Hung, Luu Ho Thanh Lam, Chih-Min Lin, Ngan Thi Kim Nguyen
Software Mentions: 4
Published: almost 4 years ago

10.3389/fnhum.2019.00295

Theories and Methods for Labeling Cognitive Workload: Classification and Transfer Learning
Cited by: 18
Author(s): Ryan McKendrick, Bradley Feest, Amanda E. Harwood, Brian Falcone
Software Mentions: 4
Published: about 5 years ago

10.7150/jca.59933

Hallmark microRNA signature in liquid biopsy identifies hepatocellular carcinoma and differentiates it from liver metastasis
Cited by: 6
Author(s): Vernon G. Wong, Ming-In Wong, Chi-Tat Lam, Maria Li Lung, Ka-On Lam, Victor Lee
Software Mentions: 4
Published: over 3 years ago

10.3389/fonc.2021.704218

RGB Three-Channel SWE-Based Ultrasomics Model: Improving the Efficiency in Differentiating Focal Liver Lesions
Cited by: 2
Author(s): Minquan Cheng, Meng-Fei Xian, Wei Tian, Ming‐De Li, Hang-Tong Hu, Wei Li, Jianchao Zhang, Yang Huang, Xiaoyan Xie, Ming-De Lü, Ming Kuang, Wei Wang, Si-Min Ruan, Li-Da Chen
Software Mentions: 4
Published: almost 3 years ago

10.1186/s12967-021-03015-w

Multi-parametric MRI phenotype with trustworthy machine learning for differentiating CNS demyelinating diseases
Cited by: 4
Author(s): Jing Huang, Bowen Xin, Xiuying Wang, Zhigang Qi, Hui Dong, Kuncheng Li, Yun Zhou, Jie Lu
Software Mentions: 4
Published: about 3 years ago

10.1186/s40478-020-00939-0

Transcriptional analyses of adult and pediatric adamantinomatous craniopharyngioma reveals similar expression signatures regarding potential therapeutic targets
Cited by: 4
Author(s): Eric Prince, Ros Whelan, Andrew M. Donson, Susan Staulcup, Astrid Hengartner, Trinka Vijmasi, Chibueze Agwu, Kevin O. Lillehei, Nicholas Foreman, James M. Johnston, Luca Massimi, Richard C. E. Anderson, Mark M. Souweidane, Robert P. Naftel, David D. Limbrick, Gerald A. Grant, Toba Niazi, Roy Dudley, Lindsay Kilburn, Eric M. Jackson, George I. Jallo, Kevin Ginn, Amy Smith, Joshua J. Chern, Amy Lee, Annie Drapeau, Mark D. Krieger, Michael H. Handler, Todd C. Hankinson
Software Mentions: 3
Published: over 4 years ago

10.1371/journal.pone.0201264

Effective injury forecasting in soccer with GPS training data and machine learning
Cited by: 142
Author(s): Alessio Rossi, Luca Pappalardo, Paolo Cintia, F. Marcello Iaia, Javier Fernández, Daniel Medina
Software Mentions: 3
Published: about 6 years ago

10.1155/2021/2203636

Identification of Novel COVID-19 Biomarkers by Multiple Feature Selection Strategies
Cited by: 2
Author(s): Shuai Zhang, Renliang Qu, Pengyan Wang, Shenghan Wang
Software Mentions: 3
Published: almost 3 years ago

10.1038/s41380-018-0228-9

Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group
Cited by: 108
Author(s): Abraham Nunes, Hugo G. Schnack, Christopher R. K. Ching, Ingrid Agartz, Theophilus N. Akudjedu, Martin Alda, Dag Alnæs, Silvia Alonso‐Lana, Jochen Bauer, Bernhard T. Baune, Erlend Bøen, Caterina del Mar Bonnín, Geraldo F. Busatto, Erick J. Canales‐Rodríguez, Dara M. Cannon, Xavier Caseras, Tiffany M. Chaim‐Avancini, Udo Dannlowski, Ana M. Díaz-Zuluaga, Bruno Dietsche, Nhat Trung Doan, Édouard Duchesnay, Torbjørn Elvsåshagen, Daniel Emden, Lisa T. Eyler, Mar Fatjó‐Vilas, Pauline Favre, Sonya Foley, Janice M. Fullerton, David C. Glahn, José Manuel Goikolea, Dominik Grotegerd, Tim Hahn, Chantal Henry, Derrek P. Hibar, Josselin Houenou, Fleur M. Howells, Neda Jahanshad, Tobias Kaufmann, Joanne Kenney, Tilo Kircher, Axel Krug, Trine Vik Lagerberg, Rhoshel Lenroot, Carlos López‐Jaramillo, Rodrigo Machado‐Vieira, Ulrik F. Malt, Colm McDonald, Philip B. Mitchell, Benson Mwangi, Leila Nabulsi, Nils Opel, Bronwyn Overs, Julián A Pineda-Zapata, Edith Pomarol‐Clotet, Ronny Redlich, Gloria Roberts, Pedro Rosa, Raymond Salvador, Theodore D. Satterthwaite, Jair C. Soares, Dan J. Stein, Henk Temmingh, Thomas Trappenberg, Anne Uhlmann, Neeltje E.M. van Haren, Eduard Vieta, Lars T. Westlye, Daniel H. Wolf, Dilara Yüksel, Marcus V. Zanetti, Ole A. Andreassen, Paul M. Thompson, Tomáš Hájek
Software Mentions: 2
Published: about 6 years ago

10.1186/s12911-020-01358-w

A stacking-based model for predicting 30-day all-cause hospital readmissions of patients with acute myocardial infarction
Cited by: 12
Author(s): Zhen Zhang, Hang Qiu, Weihao Li, Yu‐Cheng Chen
Software Mentions: 2
Published: almost 4 years ago

10.1186/s12859-019-3026-8

VarSight: prioritizing clinically reported variants with binary classification algorithms
Cited by: 13
Author(s): James Holt, Brandon Wilk, Camille L. Birch, Donna M. Brown, Manavalan Gajapathy, Alexander C Moss, Nadiya Sosonkina, Melissa A. Wilk, Julie A. Anderson, Jeremy M. Harris, Jacob M. Kelly, Fariba Shaterferdosian, Angelina E. Uno-Antonison, Arthur Weborg, Elizabeth A. Worthey
Software Mentions: 2
Published: almost 5 years ago

10.3389/frai.2021.579931

Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian Data
Cited by: 25
Author(s): Fernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Edimilson Batista dos Santos, Cristiano M. Silva, Daniel L. Guidoni
Software Mentions: 2
Published: about 3 years ago

10.3390/s20143863

Using Sensor Data to Detect Lameness and Mastitis Treatment Events in Dairy Cows: A Comparison of Classification Models
Cited by: 12
Author(s): Christian Post, Christian Rietz, Wolfgang Büscher, Ute Müller
Software Mentions: 2
Published: about 4 years ago

10.1371/journal.pcbi.1007760

A novel riboswitch classification based on imbalanced sequences achieved by machine learning
Cited by: 2
Author(s): Solomon Beyene, Tianyi Ling, Blagoj Ristevski, Ming Chen
Software Mentions: 1
Published: about 4 years ago

10.3390/diagnostics11071263

Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab
Cited by: 5
Author(s): Samy Ammari, Raoul Sallé de Chou, Tarek Assi, Mehdi Touat, Émilie Chouzenoux, Arnaud Quillent, Elaine Johanna Limkin, Laurent Dercle, Joya Hadchiti, Mickael Elhaik, Salma Moalla, Mohamed Khettab, Corinne Balleyguier, Nathalie Lassau, Sarah Dumont, Cristina Smolenschi
Software Mentions: 1
Published: about 3 years ago

10.3389/fpubh.2021.689156

Physical Activity Levels and Perceived Changes in the Context of Intra-EEA Migration: A Study on Italian Immigrants in Norway
Cited by: 4
Author(s): Giovanna Calogiuri, Alessio Rossi, Laura Terragni
Software Mentions: 1
Published: about 3 years ago

Ecosyste.ms: Papers

Projects: pypi: imblearn

Papers Mentioning imblearn 24