Medicine & Health

Machine Learning in Health and Biomedicine

Published August 21, 2019 Special Issues

Modern statistical modeling techniques—often called machine learning—are posited as a transformative force for human health. High-profile reports of diagnostic success demonstrate promise, but head-to-head comparisons to classical analyses of clinical data indicate that restraint is warranted. Practical questions are also timely. Will machine learning drive precision medicine? Will it elevate care in low-resource settings? How will the clinician interact with the machine? In this Collection, PLOS ONE, PLOS Computational Biology, PLOS Medicine and our teams of Guest Editors will feature research that applies machine learning methods to health and biomedicine. These articles will be accompanied by expert commentary on the application, impact, and ethics of these approaches.

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Guest Editors (PLOS Medicine Special Issue)
PLOS Medicine Special Issue
Collection Editor (PLOS Computational Biology)
PLOS Computational Biology Collection
Guest Editors (PLOS ONE)
Collection Overview: PLOS ONE
PLOS ONE Collection: Acute Care
PLOS ONE Collection: Primary Care
PLOS ONE Collection: Mental Health
PLOS ONE Collection: Global Health
PLOS ONE Collection: Medical Imaging
PLOS ONE Collection: Ophthalmology
PLOS ONE Collection: Biobank and Omics Studies
PLOS ONE Collection: Miscellaneous

Guest Editors (PLOS Medicine Special Issue)

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Atul Butte

Atul Butte Dr. Atul Butte
March 1, 2018 Guest Editor, PLOS Medicine Machine Learning in Health and Biomedicine
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Suchi Saria

Suchi Saria Dr. Suchi Saria
March 1, 2018 Guest Editor, PLOS Medicine Machine Learning in Health and Biomedicine
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Aziz Sheikh

Aziz Sheikh Dr. Aziz Sheikh
March 1, 2018 Guest Editor, PLOS Medicine Machine Learning in Health and Biomedicine

PLOS Medicine Special Issue

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10.1371/journal.pmed.1002750

PLOS Medicine Patterns of joint involvement in juvenile idiopathic arthritis and prediction of disease course: A prospective study with multilayer non-negative matrix factorization
February 26, 2019 Simon Eng, Florence Aeschlimann, Mira van Veenendaal, Roberta Berard, Alan Rosenberg, Quaid Morris, Rae Yeung
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Wikimedia

PLOS Medicine Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
January 24, 2019 Jakob Kather, Johannes Krisam, Pornpimol Charoentong, Tom Luedde, Esther Herpel, Cleo-Aron Weis, Timo Gaiser, Alexander Marx, Nektarios Valous, Dyke Ferber, Lina Jansen, Constantino Carlos Reyes-Aldasoro, Inka Zörnig...
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geralt, Pixabay

PLOS Medicine Better medicine through machine learning: What’s real, and what’s artificial?
December 31, 2018 Suchi Saria, Atul Butte, Aziz Sheikh
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geralt, Pixabay

PLOS Medicine Advancing the beneficial use of machine learning in health care and medicine: Toward a community understanding
November 30, 2018 Linda Nevin
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PublicDomainPictures.net

PLOS Medicine Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study
November 30, 2018 Shane Nanayakkara, Sam Fogarty, Michael Tremeer, Kelvin Ross, Brent Richards, Christoph Bergmeir, Sheng Xu, Dion Stub, Karen Smith, Mark Tacey, Danny Liew, David Pilcher...
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MaxPixel.net

PLOS Medicine Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study
November 30, 2018 Ahmed Hosny, Chintan Parmar, Thibaud Coroller, Patrick Grossmann, Roman Zeleznik, Avnish Kumar, Johan Bussink, Robert Gillies, Raymond Mak, Hugo Aerts
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Staff Sgt Benjamin W Stratton, US Air Force

PLOS Medicine Deep learning and artificial intelligence in radiology: Current applications and future directions
November 30, 2018 Koichiro Yasaka, Osamu Abe
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pxhere.com

PLOS Medicine Mobile detection of autism through machine learning on home video: A development and prospective validation study
November 27, 2018 Qandeel Tariq, Jena Daniels, Jessey Schwartz, Peter Washington, Haik Kalantarian, Dennis Wall
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10.1371/journal.pmed.1002699

PLOS Medicine Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
November 27, 2018 Nicholas Bien, Pranav Rajpurkar, Robyn Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik Patel, Kristen Yeom, Katie Shpanskaya, Safwan Halabi...
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Snr Airman Wesley Farnsworth, US Air Force

PLOS Medicine Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia)
November 27, 2018 Kristin Corey, Sehj Kashyap, Elizabeth Lorenzi, Sandhya Lagoo-Deenadayalan, Katherine Heller, Krista Whalen, Suresh Balu, Mitchell Heflin, Shelley McDonald...
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Josh Plueger, US Air Force

PLOS Medicine Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
November 27, 2018 Chenxi Huang, Karthik Murugiah, Shiwani Mahajan, Shu-Xia Li, Sanket Dhruva, Julian Haimovich, Yongfei Wang, Wade Schulz, Jeffrey Testani, Francis Wilson, Carlos Mena...
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geralt, Pixabay

PLOS Medicine Machine learning in population health: Opportunities and threats
November 27, 2018 Abraham Flaxman, Theo Vos
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Staff Sgt. Benjamin W Stratton, US Air Force

PLOS Medicine Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
November 20, 2018 Pranav Rajpurkar, Jeremy Irvin, Robyn Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Bhavik Patel, Kristen Yeom...
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Graham Richardson, Wikimedia

PLOS Medicine Predicting the risk of emergency admission with machine learning: Development & validation using linked electronic health records
November 20, 2018 Fatemeh Rahimian, Golamreza Salimi-Khorshidi, Amir H. Payberah, Jenny Tran, Roberto Ayala Solares, Francesca Raimondi, Milad Nazarzadeh, Dexter Canoy, Kazem Rahimi
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Vitor Pamplona

PLOS Medicine Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study
November 20, 2018 Andrew Taylor, Clinton Mielke, John Mongan
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Bjecas, Wikimedia

PLOS Medicine The use of machine learning to understand the relationship between IgE to specific allergens and asthma
November 20, 2018 Thomas Platts-Mills, Matthew Perzanowski
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https://doi.org/10.1371/journal.pmed.1002693

PLOS Medicine Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation
November 13, 2018 Hyeonyong Hae, Soo-Jin Kang, Won-Jang Kim, So-Yeon Choi, June-Goo Lee, Youngoh Bae, Hyungjoo Cho, Dong Hyun Yang, Joon-Won Kang, Tae-Hwan Lim...
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Dartmouth College Electron Microscope Facility, Wikimedia

PLOS Medicine Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma
November 13, 2018 Sara Fontanella, Clément Frainay, Clare Murray, Angela Simpson, Adnan Custovic
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geralt, Pixabay

PLOS Medicine Transforming health policy through machine learning
November 13, 2018 Hutan Ashrafian, Ara Darzi
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TBIT, Pixabay

PLOS Medicine Prediction of myopia development using machine learning: A retrospective, multicentre machine learning study
November 6, 2018 Haotian Lin, Erping Long, Xiaohu Ding, Hongxing Diao, Zicong Chen, Runzhong Liu, Jialing Huang, Jingheng Cai, Shuangjuan Xu, Xiayin Zhang, Dongni Wang, Kexin Chen...
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scott feldstein, Flickr

PLOS Medicine Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
November 6, 2018 John Zech, Marcus Badgeley, Manway Liu, Anthony Costa, Joseph Titano, Eric Oermann
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US Army Illustration

PLOS Medicine Machine learning in medicine: Addressing ethical challenges
November 6, 2018 Effy Vayena, Alessandro Blasimme, I. Cohen

Collection Editor (PLOS Computational Biology)

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Quaid Morris

Quaid Morris Dr. Quaid Morris
March 1, 2018 Academic Editor, PLOS Computational Biology Machine Learning in Health and Biomedicine

PLOS Computational Biology Collection

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10.1371/journal.pcbi.1006952

PLOS Computational Biology Prediction of VRC01 neutralization sensitivity by HIV-1 gp160 sequence features
April 1, 2019 Craig A. Magaret, David C. Benkeser, Brian D. Williamson, Bhavesh R. Borate, Lindsay N. Carpp, Ivelin S. Georgiev, Ian Setliff, Adam S. Dingens, Noah Simon, Marco Carone, Christopher Simpkins, David Montefiori, Galit Alter, Wen-Han Yu, Michal Juraska, Paul T. Edlefsen, Shelly Karuna, Nyaradzo M. Mgodi, Srilatha Edugupanti, Peter B. Gilbert
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10.1371/journal.pcbi.1006269

PLOS Computational Biology Evaluating reproducibility of AI algorithms in digital pathology with DAPPER
March 27, 2019 Andrea Bizzego, Nicole Bussola, Marco Chierici, Valerio Maggio, Margherita Francescatto, Luca Cima, Marco Cristoforetti, Giuseppe Jurman, Cesare Furlanello
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10.1371/journal.pcbi.1006721

PLOS Computational Biology 16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses
February 26, 2019 Stephen Woloszynek, Zhengqiao Zhao, Jian Chen, Gail L. Rosen
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10.1371/journal.pcbi.1006799

PLOS Computational Biology Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models
February 22, 2019 Tyler Funnell, Allen Zhang, Diljot Grewal, Steven McKinney, Ali Bashashati, Yi Kan Wang, Sohrab Shah
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10.1371/journal.pcbi.1006826

PLOS Computational Biology Machine learning analysis of gene expression data reveals novel diagnostic and prognostic biomarkers and identifies therapeutic targets for soft tissue sarcomas
February 20, 2019 David G. P. van IJzendoorn, Karoly Szuhai, Inge H. Briaire-de Bruijn, Marie Kostine, Marieke L. Kuijjer, Judith V. M. G. Bovée
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10.1371/journal.pcbi.1006693

PLOS Computational Biology Utilizing longitudinal microbiome taxonomic profiles to predict food allergy via Long Short-Term Memory networks
February 4, 2019 Ahmed A. Metwally, Philip S. Yu, Derek Reiman, Yang Dai, Patricia W. Finn, David L. Perkins
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10.1371/journal.pcbi.1006663

PLOS Computational Biology Global analysis of N6-methyladenosine functions and its disease association using deep learning and network-based methods
January 2, 2019 Song-yao Zhang, Shao-wu Zhang, Xiao-nan Fan, Jia Meng, Yidong Chen, Shou-Jiang Gao, Yufei Huang
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10.1371/journal.pcbi.1006258

PLOS Computational Biology Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data
December 14, 2018 Danesh Moradigaravand, Martin Palm, Anne Farewell, Ville Mustonen, Jonas Warringer, Leopold Parts
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Jiminez-Carretero et al.

PLOS Computational Biology Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening
November 30, 2018 Daniel Jimenez-Carretero, Vahid Abrishami, Laura Fernández-de-Manuel, Irene Palacios, Antonio Quílez-Álvarez, Alberto Díez-Sánchez, Miguel A. del Pozo, María C. Montoya
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10.1371/journal.pcbi.1006514

PLOS Computational Biology RNA3DCNN: Local and global quality assessments of RNA 3D structures using 3D deep convolutional neural networks
November 27, 2018 Jun Li, Wei Zhu, Jun Wang, Wenfei Li, Sheng Gong, Jian Zhang, Wei Wang
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10.1371/journal.pcbi.1006516

PLOS Computational Biology A Bayesian mixture modelling approach for spatial proteomics
November 27, 2018 Laurent Gatto, Paul Kirk, Kathryn Lilley, Oliver Crook, Claire Mulvey
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Wick et al.

PLOS Computational Biology Deepbinner: Demultiplexing barcoded Oxford Nanopore reads with deep convolutional neural networks
November 20, 2018 Ryan Wick, Louise Judd, Kathryn Holt

Guest Editors (PLOS ONE)

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Leo Anthony Celi

Leo Anthony Celi Dr. Leo Anthony Celi
March 1, 2018 Academic Editor, PLOS ONE Machine Learning in Health and Biomedicine
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LucaCiti

Luca Citi Dr. Luca Citi
March 1, 2018 Academic Editor, PLOS ONE Machine Learning in Health and Biomedicine
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Marzyeh Ghassemi

Marzyeh Ghassemi Dr. Marzyeh Ghassemi
March 1, 2018 Academic Editor, PLOS ONE Machine Learning in Health and Biomedicine
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Tom Pollard

Tom Pollard Dr. Tom Pollard
March 1, 2018 Academic Editor, PLOS ONE Machine Learning in Health and Biomedicine

Collection Overview: PLOS ONE

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PLOS ONE

PLOS ONE The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data
January 15, 2019 Leo Celi, Luca Citi, Marzyeh Ghassemi, Tom Pollard

PLOS ONE Collection: Acute Care

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10.1371/journal.pone.0214904

PLOS ONE Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics
April 4, 2019 Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Matthew Ruppert, R. W. M. A. Madushani, Srajan Paliwal, Haleh Hashemighouchani, Feng Zheng, Ming Tao, Juliano M. Lopes, Xiaolin Li, Parisa Rashidi, Azra Bihorac
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10.1371/journal.pone.0214465

PLOS ONE Machine learning for patient risk stratification for acute respiratory distress syndrome
March 28, 2019 Daniel Zeiberg, Tejas Prahlad, Brahmajee K. Nallamothu, Theodore J. Iwashyna, Jenna Wiens, Michael W. Sjoding
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10.1371/journal.pone.0198919

PLOS ONE Improving preterm newborn identification in low-resource settings with machine learning
February 27, 2019 Katelyn J. Rittenhouse, Bellington Vwalika, Alexander Keil, Jennifer Winston, Marie Stoner, Joan T. Price, Monica Kapasa, Mulaya Mubambe, Vanilla Banda, Whyson Muunga, Jeffrey S. A. Stringer
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10.1371/journal.pone.0212665

PLOS ONE Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data
February 22, 2019 Aaron Masino, Mary Harris, Daniel Forsyth, Svetlana Ostapenko, Lakshmi Srinivasan, Christopher Bonafide, Fran Balamuth, Melissa Schmatz, Robert Grundmeier
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10.1371/journal.pone.0198921

PLOS ONE Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children: a single center pilot study
February 20, 2019 Sam Ghazal, Michael Sauthier, David Brossier, Wassim Bouachir, Philippe Jouvet, Rita Noumeir
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10.1371/journal.pone.0211057

PLOS ONE An attention based deep learning model of clinical events in the intensive care unit
February 13, 2019 Deepak Kaji, John Zech, Jun Kim, Samuel Cho, Neha Dangayach, Anthony Costa, Eric Oermann
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Air Force Medical Service

PLOS ONE Predicting inadequate postoperative pain management in depressed patients: A machine learning approach
February 6, 2019 Arjun Parthipan, Imon Banerjee, Keith Humphreys, Steven Asch, Catherine Curtin, Ian Carroll, Tina Hernandez-Boussard
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10.1371/journal.pone.0210966

PLOS ONE Predicting Neurological Recovery with Canonical Autocorrelation Embeddings
January 28, 2019 Maria De-Arteaga, Jieshi Chen, Peter Huggins, Jonathan Elmer, Gilles Clermont, Artur Dubrawski
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Nellis AFB, Nev.

PLOS ONE Feature selection for the accurate prediction of septic and cardiogenic shock ICU mortality in the acute phase
November 20, 2018 Alexander Aushev, Vicent Ripoll, Alfredo Vellido, Federico Aletti, Bernardo Pinto, Antoine Herpain, Emiel Post, Eduardo Medina, Ricard Ferrer, Giuseppe Baselli, Karim Bendjelid
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Wikimedia Commons

PLOS ONE Optimal intensive care outcome prediction over time using machine learning
November 14, 2018 Christopher Meiring, Abhishek Dixit, Steve Harris, Niall S. MacCallum, David A. Brealey, Peter J. Watkinson, Andrew Jones, Simon Ashworth, Richard Beale, Stephen J. Brett, Mervyn Singer, Ari Ercole
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Pixabay

PLOS ONE Improving counterfactual reasoning with kernelised dynamic mixing models
November 12, 2018 Sonali Parbhoo, Omer Gottesman, Andrew Slavin Ross, Matthieu Komorowski, Aldo Faisal, Isabella Bon, Volker Roth, Finale Doshi-Velez
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Wikimedia Commons

PLOS ONE Preoperative and postoperative prediction of long-term meningioma outcomes
September 20, 2018 Efstathios D. Gennatas, Ashley Wu, Steve E. Braunstein, Olivier Morin, William C. Chen, Stephen T. Magill, Chetna Gopinath, Javier E. Villaneueva-Meyer, Arie Perry, Michael W. McDermott, Timothy D. Solberg, Gilmer Valdes, David R. Raleigh

PLOS ONE Collection: Primary Care

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10.1371/journal.pone.0218942

PLOS ONE Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory
July 8, 2019 Yu-Wei Lin, Yuqian Zhou, Michael J. Shaw, Roy H. Campbell, Faraz Faghri
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10.1371/journal.pone.0215571

PLOS ONE Predicting childhood obesity using electronic health records and publicly available data
April 22, 2019 Robert Hammond, Rodoniki Athanasiadou, Silvia Curado, Yindalon Aphinyanaphongs, Courtney Abrams, Mary Jo Messito, Rachel Gross, Michelle Katzow, Melanie Jay, Narges Razavian, Brian Elbel
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Wikimedia Commons

PLOS ONE Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults
March 6, 2019 Hong J. Kan, Hadi Kharrazi, Hsien-Yen Chang, Dave Bodycombe, Klaus Lemke, Jonathan P. Weiner
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10.1371/journal.pone.0208737

PLOS ONE Computational prediction of diagnosis and feature selection on mesothelioma patient health records
January 10, 2019 Davide Chicco, Cristina Rovelli
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10.1371/journal.pone.0209018

PLOS ONE Mucopolysaccharidosis type II detection by Naïve Bayes Classifier: An example of patient classification for a rare disease using electronic medical records from the Canadian Primary Care Sentinel Surveillance Network
December 19, 2018 Behrouz Ehsani-Moghaddam, John A. Queenan, Jennifer MacKenzie, Richard V. Birtwhistle
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10.1371/journal.pone.0208141

PLOS ONE Machine Learning Models to Predict Disease Progression Among Veterans with Hepatitis C Virus
January 4, 2019 Monica Konerman, Lauren Beste, Tony Van, Boang Liu, Xuefei Zhang, Ji Zhu, Sameer Saini, Grace Su, Brahmajee Nallamothu, George Ioannou, Akbar Waljee
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10.1371/journal.pone.0207523

PLOS ONE Using machine learning to investigate self-medication purchasing in England via high street retailer loyalty card data
November 19, 2018 Alec Davies, Mark Green, Alex Singleton
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Flickr

PLOS ONE Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease
August 31, 2018 Andrew J. Steele, Spiros C. Denaxas, Anoop D. Shah, Harry Hemingway, Nicholas M. Luscombe
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Wikimedia Commons

PLOS ONE Applying particle filtering in both aggregated and age-structured population compartmental models of pre-vaccination measles
November 2, 2018 Xiaoyan Li, Alexander Doroshenko, Nathaniel D. Osgood

PLOS ONE Collection: Mental Health

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Rajeev Krishnadas

PLOS ONE Predicting one-year outcome in first episode psychosis using machine learning
March 7, 2019 Samuel P. Leighton, Kelly Chung, Alison Blair, Susie Brown, Suzy Clark, Kathryn Sowerbutts, Matthias Schwannauer, Jonathan Cavanagh, Andrew I. Gumley, Rajeev Krishnadas
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Wikimedia Commons

PLOS ONE Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records
February 19, 2019 Nicholas Carson, Brian Mullin, Maria Jose Sanchez, Frederick Lu, Kelly Yang, Michelle Menezes, Benjamin Cook

PLOS ONE Collection: Global Health

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Sebastian Bauhoff

PLOS ONE Using supervised learning to select audit targets in performance-based financing in health: An example from Zambia
January 29, 2019 Dhruv Grover, Sebastian Bauhoff, Jed Friedman
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Adel Daoud

PLOS ONE The influence of maternal agency on severe child undernutrition in conflict-ridden Nigeria: Modeling heterogeneous treatment effects with machine learning
January 9, 2019 Nadine Kraamwinkel, Hans Ekbrand, Stefania Davia, Adel Daoud
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Torange.biz

PLOS ONE Feature selection and prediction of treatment failure in tuberculosis
November 20, 2018 Christopher Martin Sauer, David Sasson, Kenneth E. Paik, Ned McCague, Leo Anthony Celi, Iván Sánchez Fernández, Ben M. W. Illigens

PLOS ONE Collection: Medical Imaging

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10.1371/journal.pone.0211121

PLOS ONE Revealing heterogeneity of brain imaging phenotypes in Alzheimer’s disease based on unsupervised clustering of blood marker profiles
March 4, 2019 Gerard Martí-Juan, Gerard Sanroma, Gemma Piella, for the Alzheimer’s Disease Neuroimaging Initiative and the Alzheimer’s Disease Metabolomics Consortium
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10.1371/journal.pone.0212550

PLOS ONE Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data
March 5, 2019 Christina Gsaxner, Peter M. Roth, Jürgen Wallner, Jan Egger
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10.1371/journal.pone.0207496

PLOS ONE Ossification area localization in pediatric hand radiographs using deep neural networks for object detection
November 16, 2018 Sven Koitka, Aydin Demircioglu, Moon S. Kim, Christoph M. Friedrich, Felix Nensa
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pone.0206229

PLOS ONE Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks
November 12, 2018 Obioma Pelka, Felix Nensa, Christoph M. Friedrich
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pone.0207385

PLOS ONE Predicting functional networks from region connectivity profiles in task-based versus resting-state fMRI data
November 12, 2018 Javier Rasero, Hannelore Aerts, Marlis Ontivero Ortega, Jesus M. Cortes, Daniele Marinazzo, Sebastiano Stramaglia

PLOS ONE Collection: Ophthalmology

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10.1371/journal.pone.0206081

PLOS ONE A deep learning approach to automatic detection of early glaucoma from visual fields
November 28, 2018 Şerife Seda Kucur, Gábor Holló, Raphael Sznitman
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10.1371/journal.pone.0205998

PLOS ONE Keratoconus severity identification using unsupervised machine learning
November 6, 2018 Siamak Yousefi, Ebrahim Yousefi, Hidenori Takahashi, Takahiko Hayashi, Hironobu Tampo, Satoru Inoda, Yusuke Arai, Penny Asbell

PLOS ONE Collection: Biobank and Omics Studies

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10.1371/journal.pone.0214365

PLOS ONE Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches
March 27, 2019 Stephen F. Weng, Luis Vaz, Nadeem Qureshi, Joe Kai
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10.1371/journal.pone.0206686

PLOS ONE Network assessment of demethylation treatment in melanoma: Differential transcriptome-methylome and antigen profile signatures
November 28, 2018 Zhijie Jiang, Caterina Cinti, Monia Taranta, Elisabetta Mattioli, Elisa Schena, Sakshi Singh, Rimpi Khurana, Giovanna Lattanzi, Nicholas F. Tsinoremas, Enrico Capobianco

PLOS ONE Collection: Miscellaneous

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10.1371/journal.pone.0213829

PLOS ONE Machine learning performance in a microbial molecular autopsy context: A cross-sectional postmortem human population study
April 15, 2019 Yu Zhang, Jennifer L. Pechal, Carl J. Schmidt, Heather R. Jordan, Wesley W. Wang, M. Eric Benbow, Sing-Hoi Sze, Aaron M. Tarone
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10.1371/journal.pone.0199340

PLOS ONE Kernel machine tests of association between brain networks and phenotypes
March 21, 2019 Alexandria M. Jensen, Jason R. Tregellas, Brianne Sutton, Fuyong Xing, Debashis Ghosh
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10.1371/journal.pone.0208203

PLOS ONE Risk prediction system for dengue transmission based on high resolution weather data
December 6, 2018 Chathurika Hettiarachchige, Stefan von Cavallar, Timothy Lynar, Roslyn Hickson, Manoj Gambhir
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10.1371/journal.pone.0208924

PLOS ONE Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma
December 7, 2018 Valerio Maggio, Marco Chierici, Giuseppe Jurman, Cesare Furlanello
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Pixabay

PLOS ONE Machine learning to support social media empowered patients in cancer care and cancer treatment decisions
October 18, 2018 Daswin De Silva, Weranja Ranasinghe, Tharindu Bandaragoda, Achini Adikari, Nishan Mills, Lahiru Iddamalgoda, Damminda Alahakoon, Nathan Lawrentschuk, Raj Persad, Evgeny Osipov, Richard Gray, Damien Bolton

Machine Learning in Health and Biomedicine: A PLOS cross-journal Call for Papers

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