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

Artificial Intelligence (4561) Web-based and Mobile Health Interventions (5746) Mobile Health (mhealth) (5052) Clinical Information and Decision Making (3553) mHealth for Data Collection and Research (1685) mHealth for Wellness, Behavior Change and Prevention (4207) Users' and Patients' Needs for Mental Health Services (666) Apps, Mobile, Wearables for Diabetes (438) Diabetes Self-Management (716) Machine Learning (3065) Ecological Momentary Assessment (EMA) (495)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27709, first published .
Person using a Livongo diabetes management device with blood glucose readings.

A Machine Learning Approach to Passively Informed Prediction of Mental Health Risk in People with Diabetes: Retrospective Case-Control Analysis

A Machine Learning Approach to Passively Informed Prediction of Mental Health Risk in People with Diabetes: Retrospective Case-Control Analysis

Authors of this article:

Jessica Yu1 Author Orcid Image ;   Carter Chiu1 Author Orcid Image ;   Yajuan Wang1 Author Orcid Image ;   Eldin Dzubur1 Author Orcid Image ;   Wei Lu1 Author Orcid Image ;   Julia Hoffman1 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

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  2. Fernandes G, Choi A, Schauer J, Pfammatter A, Spring B, Darwiche A, Alshurafa N. An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study. Journal of Medical Internet Research 2023;25:e42047 View
  3. dos Santos M, Heckler W, Bavaresco R, Barbosa J. Machine learning applied to digital phenotyping: A systematic literature review and taxonomy. Computers in Human Behavior 2024;161:108422 View
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  5. Ehrmann D, Hermanns N, Schmitt A, Klinker L, Kulzer B. Ecological Momentary Assessment of Person-Reported Outcomes in Diabetes: Unlocking Insights with Continuous Glucose Monitoring and the Potential for Precision Medicine. Current Diabetes Reports 2026;26(1) View
  6. Bourkhime H, Qarmiche N, Benmaamar S, Lazar N, Omari M, Berraho M, Tachfouti N, EL Fakir S, El Ouahabi H, Otmani N. Predicting Anxiety in Individuals with Diabetes: A Comparative Analysis of Machine Learning Algorithms. Problems of Endocrinology 2026;72(2):54 View
  7. Kaburu F, Zhu P, Kudiza A, McDonnell D, da Veiga C, Nie J, Xiang Y, Su Z. AI for mental disorders and diabetes comorbidity management: A scoping review. General Hospital Psychiatry 2026 View
  8. Li Y, Ren T, Zhou G, Li Z, Hu C, Zhao J, Guo T, Jiao Y, Zhou C, Wang X. An interpretable predictive model for depression risk in diabetic patients: A web-based application using NHANES data. Medicine 2026;105(26):e49402 View