Natural Language Processing

Large Language Models for Epidemiological Research via Automated Machine Learning: Case Study Using Data From the British National Child Development Study

Rasmus Wibaek, Gregers Stig Andersen, Christina C Dahm, Daniel R Witte, Adam Hulman

JMIR Med Inform 2023 (Sep 19); 11:e43638

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Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach

Elham Dolatabadi, Diana Moyano, Michael Bales, Sofija Spasojevic, Rohan Bhambhoria, Junaid Bhatti, Shyamolima Debnath, Nicholas Hoell, Xin Li, Celine Leng, Sasha Nanda, Jad Saab, Esmat Sahak, Fanny Sie, Sara Uppal, Nirma Khatri Vadlamudi, Antoaneta Vladimirova, Artur Yakimovich, Xiaoxue Yang, Sedef Akinli Kocak, Angela M Cheung

J Med Internet Res 2023 (Sep 19); 25:e45767

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Assessment of Resident and AI Chatbot Performance on the University of Toronto Family Medicine Residency Progress Test: Comparative Study

Ryan ST Huang, Kevin Jia Qi Lu, Christopher Meaney, Joel Kemppainen, Angela Punnett, Fok-Han Leung

JMIR Med Educ 2023 (Sep 19); 9:e50514

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Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study

Lea Lösch, Teun Zuiderent-Jerak, Florian Kunneman, Elena Syurina, Marloes Bongers, Mart L Stein, Michelle Chan, Willemine Willems, Aura Timen

J Med Internet Res 2023 (Sep 14); 25:e44461

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Estimating Patient Satisfaction Through a Language Processing Model: Model Development and Evaluation

Shinichi Matsuda, Takumi Ohtomo, Masaru Okuyama, Hiraku Miyake, Kotonari Aoki

JMIR Form Res 2023 (Sep 14); 7:e48534

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Construction of an Emotional Lexicon of Patients With Breast Cancer: Development and Sentiment Analysis

Chaixiu Li, Jiaqi Fu, Jie Lai, Lijun Sun, Chunlan Zhou, Wenji Li, Biao Jian, Shisi Deng, Yujie Zhang, Zihan Guo, Yusheng Liu, Yanni Zhou, Shihui Xie, Mingyue Hou, Ru Wang, Qinjie Chen, Yanni Wu

J Med Internet Res 2023 (Sep 12); 25:e44897

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Applications of Natural Language Processing for the Management of Stroke Disorders: Scoping Review

Helios De Rosario, Salvador Pitarch-Corresa, Ignacio Pedrosa, Marina Vidal-Pedrós, Beatriz de Otto-López, Helena García-Mieres, Lydia Álvarez-Rodríguez

JMIR Med Inform 2023 (Sep 06); 11:e48693

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Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study

Leibo Liu, Oscar Perez-Concha, Anthony Nguyen, Vicki Bennett, Victoria Blake, Blanca Gallego, Louisa Jorm

Interact J Med Res 2023 (Aug 25); 12:e46322

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Predicting Undesired Treatment Outcomes With Machine Learning in Mental Health Care: Multisite Study

Kasper Van Mens, Joran Lokkerbol, Ben Wijnen, Richard Janssen, Robert de Lange, Bea Tiemens

JMIR Med Inform 2023 (Aug 23); 11:e44322

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Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis

Feier Chang, Jay Krishnan, Jillian H Hurst, Michael E Yarrington, Deverick J Anderson, Emily C O'Brien, Benjamin A Goldstein

JMIR Med Inform 2023 (Aug 22); 11:e46267

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A Deep Learning Model for the Normalization of Institution Names by Multisource Literature Feature Fusion: Algorithm Development Study

Yifei Chen, Xiaoying Li, Aihua Li, Yongjie Li, Xuemei Yang, Ziluo Lin, Shirui Yu, Xiaoli Tang

JMIR Form Res 2023 (Aug 18); 7:e47434

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Identifying Risk Factors Associated With Lower Back Pain in Electronic Medical Record Free Text: Deep Learning Approach Using Clinical Note Annotations

Alan Katz, Aman Jaiswal, Marcello Nesca, Evangelos Milios

JMIR Med Inform 2023 (Aug 09); 11:e45105

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Toward Community-Based Natural Language Processing (CBNLP): Cocreating With Communities

Malvika Pillai, Ashley C Griffin, Clair A Kronk, Terika McCall

J Med Internet Res 2023 (Aug 04); 25:e48498

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Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses

Maria A Parker, Danny Valdez, Varun K Rao, Katherine S Eddens, Jon Agley

J Med Internet Res 2023 (Jul 28); 25:e48405

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Evaluating the Applicability of Existing Lexicon-Based Sentiment Analysis Techniques on Family Medicine Resident Feedback Field Notes: Retrospective Cohort Study

Kevin Jia Qi Lu, Christopher Meaney, Elaine Guo, Fok-Han Leung

JMIR Med Educ 2023 (Jul 27); 9:e41953

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Emotional Expression on Social Media Support Forums for Substance Cessation: Observational Study of Text-Based Reddit Posts

Genevieve Yang, Sarah G King, Hung-Mo Lin, Rita Z Goldstein

J Med Internet Res 2023 (Jul 19); 25:e45267

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Authors’ Reply to: Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations

Aidan Gilson, Conrad W Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash

JMIR Med Educ 2023 (Jul 13); 9:e50336

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Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations. Comment on “How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment”

Richard H Epstein, Franklin Dexter

JMIR Med Educ 2023 (Jul 13); 9:e48305

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Identifying Targets for Innovation in Amazon Reviews of Bedwetting Alarms: Thematic Analysis

Astha Sahoo, Savannah Leah Starr, Vadim Osadchiy, Sophia Desai, Neha Iyer, Marie Luff, Grace E Sollender, Renea Sturm

Interact J Med Res 2023 (Jul 06); 12:e43194

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Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort

Ari Z Klein, Shriya Kunatharaju, Karen O'Connor, Graciela Gonzalez-Hernandez

J Med Internet Res 2023 (Jul 03); 25:e46484

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