Articles published in 2017 in this theme: 13 (scroll down to load remaining articles)
2017
![Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes](https://asset.jmir.pub/assets/thumbs/e9fc563882a2cdf61dba7a64a08793ee.png 480w,https://asset.jmir.pub/assets/thumbs/e9fc563882a2cdf61dba7a64a08793ee.png 960w,https://asset.jmir.pub/assets/thumbs/e9fc563882a2cdf61dba7a64a08793ee.png 1920w,https://asset.jmir.pub/assets/thumbs/e9fc563882a2cdf61dba7a64a08793ee.png 2500w)
Chin Lin, Chia-Jung Hsu, Yu-Sheng Lou, Shih-Jen Yeh, Chia-Cheng Lee, Sui-Lung Su, Hsiang-Cheng Chen
J Med Internet Res 2017 (Nov 06); 19(11):e380Download Citation: END BibTex RIS
![Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach](https://asset.jmir.pub/assets/thumbs/5bba9398cdb8595c9b5d4be8fa738a1b.png 480w,https://asset.jmir.pub/assets/thumbs/5bba9398cdb8595c9b5d4be8fa738a1b.png 960w,https://asset.jmir.pub/assets/thumbs/5bba9398cdb8595c9b5d4be8fa738a1b.png 1920w,https://asset.jmir.pub/assets/thumbs/5bba9398cdb8595c9b5d4be8fa738a1b.png 2500w)
Jinying Chen, Abhyuday N Jagannatha, Samah J Fodeh, Hong Yu
JMIR Med Inform 2017 (Oct 31); 5(4):e42Download 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
![Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health](https://asset.jmir.pub/assets/thumbs/8f7df85a7eba01caa8b67fc00d825b16.png 480w,https://asset.jmir.pub/assets/thumbs/8f7df85a7eba01caa8b67fc00d825b16.png 960w,https://asset.jmir.pub/assets/thumbs/8f7df85a7eba01caa8b67fc00d825b16.png 1920w,https://asset.jmir.pub/assets/thumbs/8f7df85a7eba01caa8b67fc00d825b16.png 2500w)
Nicolas Michel Oreskovic, Jennifer Maniates, Jeffrey Weilburg, Garry Choy
JMIR Med Inform 2017 (Aug 14); 5(3):e25Download 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
![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
![Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help? Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?](https://asset.jmir.pub/assets/thumbs/9c5d872aefcadde61c8a7d52d4273877.png 480w,https://asset.jmir.pub/assets/thumbs/9c5d872aefcadde61c8a7d52d4273877.png 960w,https://asset.jmir.pub/assets/thumbs/9c5d872aefcadde61c8a7d52d4273877.png 1920w,https://asset.jmir.pub/assets/thumbs/9c5d872aefcadde61c8a7d52d4273877.png 2500w)
Redhouane Abdellaoui, Stéphane Schück, Nathalie Texier, Anita Burgun
JMIR Public Health Surveill 2017 (Jun 22); 3(2):e36Download 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
![Enhancing Comparative Effectiveness Research With Automated Pediatric Pneumonia Detection in a Multi-Institutional Clinical Repository: A PHIS+ Pilot Study Enhancing Comparative Effectiveness Research With Automated Pediatric Pneumonia Detection in a Multi-Institutional Clinical Repository: A PHIS+ Pilot Study](https://asset.jmir.pub/assets/thumbs/38a135d5bcd9054120888ce6fee1e8ec.png 480w,https://asset.jmir.pub/assets/thumbs/38a135d5bcd9054120888ce6fee1e8ec.png 960w,https://asset.jmir.pub/assets/thumbs/38a135d5bcd9054120888ce6fee1e8ec.png 1920w,https://asset.jmir.pub/assets/thumbs/38a135d5bcd9054120888ce6fee1e8ec.png 2500w)
Stephane Meystre, Ramkiran Gouripeddi, Joel Tieder, Jeffrey Simmons, Rajendu Srivastava, Samir Shah
J Med Internet Res 2017 (May 15); 19(5):e162Download 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
![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