Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health

A Random Forest Algorithm for Assessing Risk Factors Associated With Chronic Kidney Disease: Observational Study

Pei Liu, Yijun Liu, Hao Liu, Linping Xiong, Changlin Mei, Lei Yuan

Asian Pac Isl Nurs J 2024 (Jun 03); 8:e48378

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Exploring the Association Between Structural Racism and Mental Health: Geospatial and Machine Learning Analysis

Fahimeh Mohebbi, Amir Masoud Forati, Lucas Torres, Terri A deRoon-Cassini, Jennifer Harris, Carissa W Tomas, John R Mantsch, Rina Ghose

JMIR Public Health Surveill 2024 (May 03); 10:e52691

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Applying Machine Learning Techniques to Implementation Science

Nathalie Huguet, Jinying Chen, Ravi B Parikh, Miguel Marino, Susan A Flocke, Sonja Likumahuwa-Ackman, Justin Bekelman, Jennifer E DeVoe

Online J Public Health Inform 2024 (Apr 22); 16:e50201

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Machine Learning for Prediction of Tuberculosis Detection: Case Study of Trained African Giant Pouched Rats

Joan Jonathan, Alcardo Alex Barakabitze, Cynthia D Fast, Christophe Cox

Online J Public Health Inform 2024 (Apr 16); 16:e50771

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An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach

Jiahui Lu, Huibin Zhang, Yi Xiao, Yingyu Wang

JMIR AI 2024 (Jan 29); 3:e47240

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Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

Guillem Hernández Guillamet, Ariadna Ning Morancho Pallaruelo, Laura Miró Mezquita, Ramón Miralles, Miquel Àngel Mas, María José Ulldemolins Papaseit, Oriol Estrada Cuxart, Francesc López Seguí

Online J Public Health Inform 2023 (Dec 28); 15:e52782

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The Impact of Generative Conversational Artificial Intelligence on the Lesbian, Gay, Bisexual, Transgender, and Queer Community: Scoping Review

Nicola Luigi Bragazzi, Andrea Crapanzano, Manlio Converti, Riccardo Zerbetto, Rola Khamisy-Farah

J Med Internet Res 2023 (Dec 06); 25:e52091

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Application of Machine Learning Prediction of Individual SARS-CoV-2 Vaccination and Infection Status to the French Serosurveillance Survey From March 2020 to 2022: Cross-Sectional Study

Stéphanie Bougeard, Adeline Huneau-Salaun, Mikael Attia, Jean-Baptiste Richard, Caroline Demeret, Johnny Platon, Virginie Allain, Stéphane Le Vu, Sophie Goyard, Véronique Gillon, Sibylle Bernard-Stoecklin, Bernadette Crescenzo-Chaigne, Gabrielle Jones, Nicolas Rose, Sylvie van der Werf, Olivier Lantz, Thierry Rose, Harold Noël

JMIR Public Health Surveill 2023 (Nov 28); 9:e46898

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The Readability and Quality of Web-Based Patient Information on Nasopharyngeal Carcinoma: Quantitative Content Analysis

Denise Jia Yun Tan, Tsz Ki Ko, Ka Siu Fan

JMIR Form Res 2023 (Nov 27); 7:e47762

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Identification of Key Influencers for Secondary Distribution of HIV Self-Testing Kits Among Chinese Men Who Have Sex With Men: Development of an Ensemble Machine Learning Approach

Fengshi Jing, Yang Ye, Yi Zhou, Yuxin Ni, Xumeng Yan, Ying Lu, Jason Ong, Joseph D Tucker, Dan Wu, Yuan Xiong, Chen Xu, Xi He, Shanzi Huang, Xiaofeng Li, Hongbo Jiang, Cheng Wang, Wencan Dai, Liqun Huang, Wenhua Mei, Weibin Cheng, Qingpeng Zhang, Weiming Tang

J Med Internet Res 2023 (Nov 23); 25:e37719

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Patient Journey Toward a Diagnosis of Light Chain Amyloidosis in a National Sample: Cross-Sectional Web-Based Study

Xuelin Dou, Yang Liu, Aijun Liao, Yuping Zhong, Rong Fu, Lihong Liu, Canchan Cui, Xiaohong Wang, Jin Lu

JMIR Form Res 2023 (Nov 02); 7:e44420

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Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study

Liuyang Yang, Ting Zhang, Xuan Han, Jiao Yang, Yanxia Sun, Libing Ma, Jialong Chen, Yanming Li, Shengjie Lai, Wei Li, Luzhao Feng, Weizhong Yang

J Med Internet Res 2023 (Oct 17); 25:e45085

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Identifying Rare Circumstances Preceding Female Firearm Suicides: Validating A Large Language Model Approach

Weipeng Zhou, Laura C Prater, Evan V Goldstein, Stephen J Mooney

JMIR Ment Health 2023 (Oct 17); 10:e49359

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Conversational AI and Vaccine Communication: Systematic Review of the Evidence

Aly Passanante, Ed Pertwee, Leesa Lin, Kristi Yoonsup Lee, Joseph T Wu, Heidi J Larson

J Med Internet Res 2023 (Oct 03); 25:e42758

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Parkinson Disease Recognition Using a Gamified Website: Machine Learning Development and Usability Study

Shubham Parab, Jerry Boster, Peter Washington

JMIR Form Res 2023 (Sep 29); 7:e49898

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Hot Topic Recognition of Health Rumors Based on Anti-Rumor Articles on the WeChat Official Account Platform: Topic Modeling

Ziyu Li, Xiaoqian Wu, Lin Xu, Ming Liu, Cheng Huang

J Med Internet Res 2023 (Sep 21); 25:e45019

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Bot or Not? Detecting and Managing Participant Deception When Conducting Digital Research Remotely: Case Study of a Randomized Controlled Trial

Gemma Loebenberg, Melissa Oldham, Jamie Brown, Larisa Dinu, Susan Michie, Matt Field, Felix Greaves, Claire Garnett

J Med Internet Res 2023 (Sep 14); 25:e46523

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Identification of Risk Groups for and Factors Affecting Metabolic Syndrome in South Korean Single-Person Households Using Latent Class Analysis and Machine Learning Techniques: Secondary Analysis Study

Ji-Soo Lee, Soo-Kyoung Lee

JMIR Form Res 2023 (Sep 12); 7:e42756

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Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study

Malik Sallam, Nesreen A Salim, Muna Barakat, Kholoud Al-Mahzoum, Ala'a B Al-Tammemi, Diana Malaeb, Rabih Hallit, Souheil Hallit

JMIR Med Educ 2023 (Sep 05); 9:e48254

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Framework for Classifying Explainable Artificial Intelligence (XAI) Algorithms in Clinical Medicine

Thomas Gniadek, Jason Kang, Talent Theparee, Jacob Krive

Online J Public Health Inform 2023 (Sep 01); 15:e50934

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