JMIR Human Factors

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Development and Usability of an Advance Care Planning Website (My Voice) to Empower Patients With Heart Failure and Their Caregivers: Mixed Methods Study

Chetna Malhotra, Alethea Yee, Chandrika Ramakrishnan, Sanam Naraindas Kaurani, Ivy Chua, Joshua R Lakin, David Sim, Iswaree Balakrishnan, Vera Goh Jin Ling, Huang Weiliang, Lee Fong Ling, Kathryn I Pollak

JMIR Aging 2024;7:e60117

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Whole-Body and Segmental Phase Angles and Cognitive Function in the Older Korean Population: Cross-Sectional Analysis

Jiaren Chen, Jong-Hwan Park, Chien-Yu Lin, Ting-Fu Lai, Du-Ri Kim, Myung-Jun Shin, Eunsoo Moon, Jung Mo Kang, Jong Won Lee, Yoon Jae Cho, Yung Liao, Tae Sik Goh, Jung Sub Lee

JMIR Public Health Surveill 2024;10:e63457

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Machine Learning–Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation

Joshua Kuan Tan, Le Quan, Nur Nasyitah Mohamed Salim, Jen Hong Tan, Su-Yen Goh, Julian Thumboo, Yong Mong Bee

JMIR AI 2024;3:e58463

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Objective Analysis of Traditional Chinese Medicine Syndrome Differentiation of Patients With Diabetes and Prediabetes: Protocol for a Nonrandomized, Exploratory, Observational Case-Control Study Using Digitalized Traditional Chinese Medicine Diagnostic Tools

Hui Ping Ng, Shu Yun Chong, Yi Huan Li, Tong Hwee Goh, Ka Yii Pang, Michelle Jessica Pereira, Chin-Ming Huang

JMIR Res Protoc 2024;13:e56024

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The Impact of Air Pollution Information on Individuals’ Exercise Behavior: Empirical Study Using Wearable and Mobile Devices Data

Yang Yang, Khim-Yong Goh, Hock Hai Teo, Sharon Swee-Lin Tan

JMIR Mhealth Uhealth 2024;12:e55207

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Rationale, Design, and Baseline Characteristics of Participants in the Health@NUS mHealth Augmented Cohort Study Examining Student-to-Work Life Transition: Protocol for a Prospective Cohort Study

Xin Hui Chua, Sarah Martine Edney, Andre Matthias Müller, Nicholas A Petrunoff, Clare Whitton, Zoey Tay, Claire Marie Jie Lin Goh, Bozhi Chen, Su Hyun Park, Salome A Rebello, Alicia Low, Janelle Chia, Daphne Koek, Karen Cheong, Rob M van Dam, Falk Müller-Riemenschneider

JMIR Res Protoc 2024;13:e56749

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Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence–Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study

Sungwon Yoon, Hendra Goh, Phong Ching Lee, Hong Chang Tan, Ming Ming Teh, Dawn Shao Ting Lim, Ann Kwee, Chandran Suresh, David Carmody, Du Soon Swee, Sarah Ying Tse Tan, Andy Jun-Wei Wong, Charlotte Hui-Min Choo, Zongwen Wee, Yong Mong Bee

JMIR Hum Factors 2024;11:e50939

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Harnessing ChatGPT for Thematic Analysis: Are We Ready?

To date, several AI-based tools, such as AILYZE (James Goh) and Monkey Learn (Raul Garreta), are available to aid researchers in conducting thematic analysis [7,8]. For instance, AILYZE is able to summarize interview transcripts, provide suggestions for themes, and extract relevant quotes for each theme [7]. Nevertheless, full access to these tools often requires subscription payments, making them inaccessible for researchers and institutions that lack adequate financial resources.

V Vien Lee, Stephanie C C van der Lubbe, Lay Hoon Goh, Jose Maria Valderas

J Med Internet Res 2024;26:e54974

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