Articles published in 2017 in this theme: 19 (scroll down to load remaining articles)
2017
![Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure](https://asset.jmir.pub/assets/thumbs/46d80a3402d287e86ee8183e47d7f429.png 480w,https://asset.jmir.pub/assets/thumbs/46d80a3402d287e86ee8183e47d7f429.png 960w,https://asset.jmir.pub/assets/thumbs/46d80a3402d287e86ee8183e47d7f429.png 1920w,https://asset.jmir.pub/assets/thumbs/46d80a3402d287e86ee8183e47d7f429.png 2500w)
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):e51Download Citation: END BibTex RIS
![Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements](https://asset.jmir.pub/assets/thumbs/a75b4c9eac6fd9f73d5c197dafd1ff41.png 480w,https://asset.jmir.pub/assets/thumbs/a75b4c9eac6fd9f73d5c197dafd1ff41.png 960w,https://asset.jmir.pub/assets/thumbs/a75b4c9eac6fd9f73d5c197dafd1ff41.png 1920w,https://asset.jmir.pub/assets/thumbs/a75b4c9eac6fd9f73d5c197dafd1ff41.png 2500w)
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):e45Download Citation: END BibTex RIS
![Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications](https://asset.jmir.pub/assets/thumbs/8a178f23ab6e355c4c901405a1609ee4.png 480w,https://asset.jmir.pub/assets/thumbs/8a178f23ab6e355c4c901405a1609ee4.png 960w,https://asset.jmir.pub/assets/thumbs/8a178f23ab6e355c4c901405a1609ee4.png 1920w,https://asset.jmir.pub/assets/thumbs/8a178f23ab6e355c4c901405a1609ee4.png 2500w)
Nicholas Shawen, Luca Lonini, Chaithanya Krishna Mummidisetty, Ilona Shparii, Mark V Albert, Konrad Kording, Arun Jayaraman
JMIR Mhealth Uhealth 2017 (Oct 11); 5(10):e151Download Citation: END BibTex RIS
![A Roadmap for Optimizing Asthma Care Management via Computational Approaches A Roadmap for Optimizing Asthma Care Management via Computational Approaches](https://asset.jmir.pub/assets/thumbs/6648770fb624921fa6030e826644e9c6.png 480w,https://asset.jmir.pub/assets/thumbs/6648770fb624921fa6030e826644e9c6.png 960w,https://asset.jmir.pub/assets/thumbs/6648770fb624921fa6030e826644e9c6.png 1920w,https://asset.jmir.pub/assets/thumbs/6648770fb624921fa6030e826644e9c6.png 2500w)
A Roadmap for Optimizing Asthma Care Management via Computational Approaches
JMIR Med Inform 2017 (Sep 26); 5(3):e32Download Citation: END BibTex RIS
![Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods](https://asset.jmir.pub/assets/thumbs/2cd9c7a49a52147ca8152b80f50dc0be.png 480w,https://asset.jmir.pub/assets/thumbs/2cd9c7a49a52147ca8152b80f50dc0be.png 960w,https://asset.jmir.pub/assets/thumbs/2cd9c7a49a52147ca8152b80f50dc0be.png 1920w,https://asset.jmir.pub/assets/thumbs/2cd9c7a49a52147ca8152b80f50dc0be.png 2500w)
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):e175Download Citation: END BibTex RIS
![A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals](https://asset.jmir.pub/assets/thumbs/6118d7722d82729c7f8c4f8736cd71d8.png 480w,https://asset.jmir.pub/assets/thumbs/6118d7722d82729c7f8c4f8736cd71d8.png 960w,https://asset.jmir.pub/assets/thumbs/6118d7722d82729c7f8c4f8736cd71d8.png 1920w,https://asset.jmir.pub/assets/thumbs/6118d7722d82729c7f8c4f8736cd71d8.png 2500w)
Michael L Birnbaum, Sindhu Kiranmai Ernala, Asra F Rizvi, Munmun De Choudhury, John M Kane
J Med Internet Res 2017 (Aug 14); 19(8):e289Download Citation: END BibTex RIS
![Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation](https://asset.jmir.pub/assets/thumbs/9e3860ddcd450ce38c32351b6eb3acd5.png 480w,https://asset.jmir.pub/assets/thumbs/9e3860ddcd450ce38c32351b6eb3acd5.png 960w,https://asset.jmir.pub/assets/thumbs/9e3860ddcd450ce38c32351b6eb3acd5.png 1920w,https://asset.jmir.pub/assets/thumbs/9e3860ddcd450ce38c32351b6eb3acd5.png 2500w)
Jose Juan Dominguez Veiga, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Tomas E Ward
JMIR Mhealth Uhealth 2017 (Aug 04); 5(8):e115Download Citation: END BibTex RIS
![What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer](https://asset.jmir.pub/assets/thumbs/b5141f5666537a3decab76e7c3728773.png 480w,https://asset.jmir.pub/assets/thumbs/b5141f5666537a3decab76e7c3728773.png 960w,https://asset.jmir.pub/assets/thumbs/b5141f5666537a3decab76e7c3728773.png 1920w,https://asset.jmir.pub/assets/thumbs/b5141f5666537a3decab76e7c3728773.png 2500w)
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):e23Download Citation: END BibTex RIS
![Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers](https://asset.jmir.pub/assets/thumbs/af288eae69aa1115357673963b07a777.png 480w,https://asset.jmir.pub/assets/thumbs/af288eae69aa1115357673963b07a777.png 960w,https://asset.jmir.pub/assets/thumbs/af288eae69aa1115357673963b07a777.png 1920w,https://asset.jmir.pub/assets/thumbs/af288eae69aa1115357673963b07a777.png 2500w)
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):e19Download Citation: END BibTex RIS
![Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine Estimating One-Year Risk of Incident Chronic Kidney Disease: Retrospective Development and Validation Study Using Electronic Medical Record Data From the State of Maine](https://asset.jmir.pub/assets/thumbs/bce0d0bb00269ee5a6ca8494f7ffad16.png 480w,https://asset.jmir.pub/assets/thumbs/bce0d0bb00269ee5a6ca8494f7ffad16.png 960w,https://asset.jmir.pub/assets/thumbs/bce0d0bb00269ee5a6ca8494f7ffad16.png 1920w,https://asset.jmir.pub/assets/thumbs/bce0d0bb00269ee5a6ca8494f7ffad16.png 2500w)
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):e21Download Citation: END BibTex RIS
![Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study](https://asset.jmir.pub/assets/thumbs/b5d7160268f4636e8464595eff3cc44e.png 480w,https://asset.jmir.pub/assets/thumbs/b5d7160268f4636e8464595eff3cc44e.png 960w,https://asset.jmir.pub/assets/thumbs/b5d7160268f4636e8464595eff3cc44e.png 1920w,https://asset.jmir.pub/assets/thumbs/b5d7160268f4636e8464595eff3cc44e.png 2500w)
Qijin Cheng, Tim MH Li, Chi-Leung Kwok, Tingshao Zhu, Paul SF Yip
J Med Internet Res 2017 (Jul 10); 19(7):e243Download Citation: END BibTex RIS
![Validation of an Improved Computer-Assisted Technique for Mining Free-Text Electronic Medical Records Validation of an Improved Computer-Assisted Technique for Mining Free-Text Electronic Medical Records](https://asset.jmir.pub/assets/thumbs/965a546ae30cff948ba420edb8d58418.png 480w,https://asset.jmir.pub/assets/thumbs/965a546ae30cff948ba420edb8d58418.png 960w,https://asset.jmir.pub/assets/thumbs/965a546ae30cff948ba420edb8d58418.png 1920w,https://asset.jmir.pub/assets/thumbs/965a546ae30cff948ba420edb8d58418.png 2500w)
Marco Duz, John F Marshall, Tim Parkin
JMIR Med Inform 2017 (Jun 29); 5(2):e17Download Citation: END BibTex RIS
![Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet](https://asset.jmir.pub/assets/thumbs/3aea864bf3d35b6d7edfded9f06b3c18.png 480w,https://asset.jmir.pub/assets/thumbs/3aea864bf3d35b6d7edfded9f06b3c18.png 960w,https://asset.jmir.pub/assets/thumbs/3aea864bf3d35b6d7edfded9f06b3c18.png 1920w,https://asset.jmir.pub/assets/thumbs/3aea864bf3d35b6d7edfded9f06b3c18.png 2500w)
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):e220Download Citation: END BibTex RIS
![Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies](https://asset.jmir.pub/assets/thumbs/b622ce4f004ea2b72fc68620396cef3b.png 480w,https://asset.jmir.pub/assets/thumbs/b622ce4f004ea2b72fc68620396cef3b.png 960w,https://asset.jmir.pub/assets/thumbs/b622ce4f004ea2b72fc68620396cef3b.png 1920w,https://asset.jmir.pub/assets/thumbs/b622ce4f004ea2b72fc68620396cef3b.png 2500w)
Shuai Zheng, James J Lu, Nima Ghasemzadeh, Salim S Hayek, Arshed A Quyyumi, Fusheng Wang
JMIR Med Inform 2017 (May 09); 5(2):e12Download Citation: END BibTex RIS
![Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients](https://asset.jmir.pub/assets/thumbs/4e435f160ac10be22933740f2a7f0cfc.png 480w,https://asset.jmir.pub/assets/thumbs/4e435f160ac10be22933740f2a7f0cfc.png 960w,https://asset.jmir.pub/assets/thumbs/4e435f160ac10be22933740f2a7f0cfc.png 1920w,https://asset.jmir.pub/assets/thumbs/4e435f160ac10be22933740f2a7f0cfc.png 2500w)
Eunjeong Park, Hyuk-Jae Chang, Hyo Suk Nam
J Med Internet Res 2017 (Apr 18); 19(4):e120Download Citation: END BibTex RIS
![Supervised Machine Learning Algorithms Can Classify Open-Text Feedback of Doctor Performance With Human-Level Accuracy Supervised Machine Learning Algorithms Can Classify Open-Text Feedback of Doctor Performance With Human-Level Accuracy](https://asset.jmir.pub/assets/thumbs/9c1fa076c13312970eebf7fd56eb211b.png 480w,https://asset.jmir.pub/assets/thumbs/9c1fa076c13312970eebf7fd56eb211b.png 960w,https://asset.jmir.pub/assets/thumbs/9c1fa076c13312970eebf7fd56eb211b.png 1920w,https://asset.jmir.pub/assets/thumbs/9c1fa076c13312970eebf7fd56eb211b.png 2500w)
Chris Gibbons, Suzanne Richards, Jose Maria Valderas, John Campbell
J Med Internet Res 2017 (Mar 15); 19(3):e65Download Citation: END BibTex RIS
![Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System](https://asset.jmir.pub/assets/thumbs/4e260c071e20a0e5cebd63c0d113303d.png 480w,https://asset.jmir.pub/assets/thumbs/4e260c071e20a0e5cebd63c0d113303d.png 960w,https://asset.jmir.pub/assets/thumbs/4e260c071e20a0e5cebd63c0d113303d.png 1920w,https://asset.jmir.pub/assets/thumbs/4e260c071e20a0e5cebd63c0d113303d.png 2500w)
Syed Ahmar Shah, Carmelo Velardo, Andrew Farmer, Lionel Tarassenko
J Med Internet Res 2017 (Mar 07); 19(3):e69Download Citation: END BibTex RIS
![Leveraging Electronic Health Care Record Information to Measure Pressure Ulcer Risk in Veterans With Spinal Cord Injury: A Longitudinal Study Protocol Leveraging Electronic Health Care Record Information to Measure Pressure Ulcer Risk in Veterans With Spinal Cord Injury: A Longitudinal Study Protocol](https://asset.jmir.pub/assets/thumbs/732913fef2720dd9b40e7686a6193eb8.png 480w,https://asset.jmir.pub/assets/thumbs/732913fef2720dd9b40e7686a6193eb8.png 960w,https://asset.jmir.pub/assets/thumbs/732913fef2720dd9b40e7686a6193eb8.png 1920w,https://asset.jmir.pub/assets/thumbs/732913fef2720dd9b40e7686a6193eb8.png 2500w)
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):e3Download Citation: END BibTex RIS