Machine Learning

Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure

Ahmad P Tafti, Jonathan Badger, Eric LaRose, Ehsan Shirzadi, Andrea Mahnke, John Mayer, Zhan Ye, David Page, Peggy Peissig

JMIR Med Inform 2017 (Dec 08); 5(4):e51

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Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements

Ben Wellner, Joan Grand, Elizabeth Canzone, Matt Coarr, Patrick W Brady, Jeffrey Simmons, Eric Kirkendall, Nathan Dean, Monica Kleinman, Peter Sylvester

JMIR Med Inform 2017 (Nov 22); 5(4):e45

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Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

Nicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, Ilona Shparii, Mark V Albert, Konrad Kording, Arun Jayaraman

JMIR Mhealth Uhealth 2017 (Oct 11); 5(10):e151

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A Roadmap for Optimizing Asthma Care Management via Computational Approaches

Gang Luo, Katherine Sward

JMIR Med Inform 2017 (Sep 26); 5(3):e32

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Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods

Gang Luo, Bryan L Stone, Michael D Johnson, Peter Tarczy-Hornoch, Adam B Wilcox, Sean D Mooney, Xiaoming Sheng, Peter J Haug, Flory L Nkoy

JMIR Res Protoc 2017 (Aug 29); 6(8):e175

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A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals

Michael L Birnbaum, Sindhu Kiranmai Ernala, Asra F Rizvi, Munmun De Choudhury, John M Kane

J Med Internet Res 2017 (Aug 14); 19(8):e289

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Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation

Jose Juan Dominguez Veiga, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Tomas E Ward

JMIR Mhealth Uhealth 2017 (Aug 04); 5(8):e115

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What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer

Mike Donald Tapi Nzali, Sandra Bringay, Christian Lavergne, Caroline Mollevi, Thomas Opitz

JMIR Med Inform 2017 (Jul 31); 5(3):e23

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Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers

Adel Elmessiry, William O Cooper, Thomas F Catron, Jan Karrass, Zhe Zhang, Munindar P Singh

JMIR Med Inform 2017 (Jul 31); 5(3):e19

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Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine

Shiying Hao, Tianyun Fu, Qian Wu, Bo Jin, Chunqing Zhu, Zhongkai Hu, Yanting Guo, Yan Zhang, Yunxian Yu, Terry Fouts, Phillip Ng, Devore S Culver, Shaun T Alfreds, Frank Stearns, Karl G Sylvester, Eric Widen, Doff B McElhinney, Xuefeng B Ling

JMIR Med Inform 2017 (Jul 26); 5(3):e21

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Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study

Qijin Cheng, Tim MH Li, Chi-Leung Kwok, Tingshao Zhu, Paul SF Yip

J Med Internet Res 2017 (Jul 10); 19(7):e243

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Validation of an Improved Computer-Assisted Technique for Mining Free-Text Electronic Medical Records

Marco Duz, John F Marshall, Tim Parkin

JMIR Med Inform 2017 (Jun 29); 5(2):e17

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Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet

Haihong Guo, Xu Na, Li Hou, Jiao Li

J Med Internet Res 2017 (Jun 20); 19(6):e220

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Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies

Shuai Zheng, James J Lu, Nima Ghasemzadeh, Salim S Hayek, Arshed A Quyyumi, Fusheng Wang

JMIR Med Inform 2017 (May 09); 5(2):e12

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Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients

Eunjeong Park, Hyuk-Jae Chang, Hyo Suk Nam

J Med Internet Res 2017 (Apr 18); 19(4):e120

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Supervised Machine Learning Algorithms Can Classify Open-Text Feedback of Doctor Performance With Human-Level Accuracy

Chris Gibbons, Suzanne Richards, Jose Maria Valderas, John Campbell

J Med Internet Res 2017 (Mar 15); 19(3):e65

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Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System

Syed Ahmar Shah, Carmelo Velardo, Andrew Farmer, Lionel Tarassenko

J Med Internet Res 2017 (Mar 07); 19(3):e69

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Leveraging Electronic Health Care Record Information to Measure Pressure Ulcer Risk in Veterans With Spinal Cord Injury: A Longitudinal Study Protocol

Stephen L Luther, Susan S Thomason, Sunil Sabharwal, Dezon K Finch, James McCart, Peter Toyinbo, Lina Bouayad, Michael E Matheny, Glenn T Gobbel, Gail Powell-Cope

JMIR Res Protoc 2017 (Jan 19); 6(1):e3

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Patient-Specific Predictive Modeling Using Random Forests: An Observational Study for the Critically Ill

Joon Lee

JMIR Med Inform 2017 (Jan 17); 5(1):e3

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