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This paper is in the following e-collection/theme issue:

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2451) Mobile Health (mhealth) (5325) Public (e)Health, Digital Epidemiology and Public Health Informatics (2404) Cost-Effectiveness and Economics (525) Wearable Devices and Sensors (1669) Digital Health Reporting Standards, Quality and Transparency in e-Research (257)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56738, first published .
Person using smartphone and smartwatch with health icons floating

A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis

A Digital Software Support Platform for Hyperthyroidism Management in South Korea: Markov Simulation Model-Based Cost-Effectiveness Analysis

Authors of this article:

Jung Hyun Kim1 Author Orcid Image ;   Jaeyong Shin2, 3 Author Orcid Image ;   Man S Kim4 Author Orcid Image ;   Jae Hoon Moon5, 6, 7 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Shin K, Jung Y, Yoo W, Kim M, Oh T, Moon J, Kong S, Lee W, Moon J. Harnessing Artificial Intelligence for Hypothyroidism Monitoring using Wearable-derived Heart rate data (Preprint). JMIR AI 2025 View