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Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach
JMIR Cancer 2025;11:e62833
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The fourth author’s name has been corrected from:
Chu-Hsiang Huang
to:
Chun-Hsiang Huang
Additionally, the affiliation of authors Chun-Hsiang Huang, Chi-Hsin Chen, and Cheng-Yi Fan has been updated from:
3 Department of Emergency Medicine, National Taiwan University Hsin-Chu Hospital, Hsinchu, Taiwan
to:
3 Department of Emergency Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
Edward Pei-Chuan Huang’s affiliation has also been updated from:
3 Department of Emergency Medicine, National
JMIR AI 2025;4:e76150
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The study by Jiang et al [27] used an ML method to build a predictive model, but they did not target patients with sepsis, and the model was not externally validated.
In our study, we developed an interpretable ML model in 4 retrospective cohorts and 1 prospective cohort, aimed at early and accurate prediction of persistent sepsis-associated AKI.
J Med Internet Res 2025;27:e62932
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Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review
J Med Internet Res 2025;27:e67507
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