Natural Language Processing

Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study

Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chia-Chun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha Dave, Tiarnan Keenan, Yuhe Ke, Chuan Hong, Nan Liu, Emily Chew, Dragomir Radev, Zhiyong Lu, Hua Xu, Qingyu Chen, Irene Li

J Med Internet Res 2024 (Oct 03); 26:e60601

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The Impact of Collaborative Documentation on Person-Centered Care: Textual Analysis of Clinical Notes

Victoria Stanhope, Nari Yoo, Elizabeth Matthews, Daniel Baslock, Yuanyuan Hu

JMIR Med Inform 2024 (Sep 20); 12:e52678

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Practical Applications of Large Language Models for Health Care Professionals and Scientists

Florian Reis, Christian Lenz, Manfred Gossen, Hans-Dieter Volk, Norman Michael Drzeniek

JMIR Med Inform 2024 (Sep 05); 12:e58478

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A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation

John M Aronis, Ye Ye, Jessi Espino, Harry Hochheiser, Marian G Michaels, Gregory F Cooper

JMIR Public Health Surveill 2024 (Aug 13); 10:e57349

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Using Topic Modeling to Understand Patients’ and Caregivers’ Perspectives About Left Ventricular Assist Device: Thematic Analysis

Semyon Melnikov, Stav Klein, Moni Shahar, David Guy

J Med Internet Res 2024 (Aug 13); 26:e50009

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Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysis

Mingxin Liu, Tsuyoshi Okuhara, XinYi Chang, Ritsuko Shirabe, Yuriko Nishiie, Hiroko Okada, Takahiro Kiuchi

J Med Internet Res 2024 (Jul 25); 26:e60807

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ChatGPT for Automated Qualitative Research: Content Analysis

Rimke Bijker, Stephanie S Merkouris, Nicki A Dowling, Simone N Rodda

J Med Internet Res 2024 (Jul 25); 26:e59050

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Examining Linguistic Differences in Electronic Health Records for Diverse Patients With Diabetes: Natural Language Processing Analysis

Isabel Bilotta, Scott Tonidandel, Winston R Liaw, Eden King, Diana N Carvajal, Ayana Taylor, Julie Thamby, Yang Xiang, Cui Tao, Michael Hansen

JMIR Med Inform 2024 (May 23); 12:e50428

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Using Large Language Models to Understand Suicidality in a Social Media–Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts

Brian Bauer, Raquel Norel, Alex Leow, Zad Abi Rached, Bo Wen, Guillermo Cecchi

JMIR Ment Health 2024 (May 16); 11:e57234

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Adverse Event Signal Detection Using Patients’ Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models

Satoshi Nishioka, Satoshi Watabe, Yuki Yanagisawa, Kyoko Sayama, Hayato Kizaki, Shungo Imai, Mitsuhiro Someya, Ryoo Taniguchi, Shuntaro Yada, Eiji Aramaki, Satoko Hori

J Med Internet Res 2024 (Apr 16); 26:e55794

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An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing: Algorithm Development and Validation Study

Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti, Shyam Visweswaran, Yanshan Wang

JMIR Med Inform 2024 (Apr 08); 12:e55318

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The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

Joshua Davis, Liesbet Van Bulck, Brigitte N Durieux, Charlotta Lindvall

JMIR Hum Factors 2024 (Mar 08); 11:e53559

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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study

Alaa Abd-alrazaq, Abdulqadir J Nashwan, Zubair Shah, Ahmad Abujaber, Dari Alhuwail, Jens Schneider, Rawan AlSaad, Hazrat Ali, Waleed Alomoush, Arfan Ahmed, Sarah Aziz

JMIR Form Res 2024 (Mar 05); 8:e49411

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Testing the Feasibility and Acceptability of Using an Artificial Intelligence Chatbot to Promote HIV Testing and Pre-Exposure Prophylaxis in Malaysia: Mixed Methods Study

Min Hui Cheah, Yan Nee Gan, Frederick L Altice, Jeffrey A Wickersham, Roman Shrestha, Nur Afiqah Mohd Salleh, Kee Seong Ng, Iskandar Azwa, Vimala Balakrishnan, Adeeba Kamarulzaman, Zhao Ni

JMIR Hum Factors 2024 (Jan 26); 11:e52055

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A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data

Juan Antonio Lossio-Ventura, Rachel Weger, Angela Y Lee, Emily P Guinee, Joyce Chung, Lauren Atlas, Eleni Linos, Francisco Pereira

JMIR Ment Health 2024 (Jan 25); 11:e50150

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Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach

Fagen Xie, Jenny Chang, Tiffany Luong, Bechien Wu, Eva Lustigova, Eva Shrader, Wansu Chen

JMIR AI 2024 (Jan 15); 3:e51240

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Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

Shu-Li Cheng, Shih-Jen Tsai, Ya-Mei Bai, Chih-Hung Ko, Chih-Wei Hsu, Fu-Chi Yang, Chia-Kuang Tsai, Yu-Kang Tu, Szu-Nian Yang, Ping-Tao Tseng, Tien-Wei Hsu, Chih-Sung Liang, Kuan-Pin Su

J Med Internet Res 2023 (Dec 25); 25:e51229

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Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (HONcode): Model Development and Validation Study

Azadeh Bayani, Alexandre Ayotte, Jean Noel Nikiema

JMIR Form Res 2023 (Dec 22); 7:e52995

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Momentary Depressive Feeling Detection Using X (Formerly Twitter) Data: Contextual Language Approach

Ali Akbar Jamali, Corinne Berger, Raymond J Spiteri

JMIR AI 2023 (Nov 27); 2:e49531

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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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