Natural Language Processing

Articles published in 2017 in this theme: 13 (scroll down to load remaining articles)

2017

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Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes

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):e380

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Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach

Jinying Chen, Abhyuday N Jagannatha, Samah J Fodeh, Hong Yu

JMIR Med Inform 2017 (Oct 31); 5(4):e42

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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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Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health

Nicolas Michel Oreskovic, Jennifer Maniates, Jeffrey Weilburg, Garry Choy

JMIR Med Inform 2017 (Aug 14); 5(3):e25

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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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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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Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?

Redhouane Abdellaoui, Stéphane Schück, Nathalie Texier, Anita Burgun

JMIR Public Health Surveill 2017 (Jun 22); 3(2):e36

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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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Enhancing Comparative Effectiveness Research With Automated Pediatric Pneumonia Detection in a Multi-Institutional Clinical Repository: A PHIS+ Pilot Study

Stephane Meystre, Ramkiran Gouripeddi, Joel Tieder, Jeffrey Simmons, Rajendu Srivastava, Samir Shah

J Med Internet Res 2017 (May 15); 19(5):e162

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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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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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