Articles published in 2025 in this theme: 11 (scroll down to load remaining articles)
2025
Equivalence of Type 2 Diabetes Prevalence Estimates: Comparative Study of Similar Phenotyping Algorithms Using Electronic Health Record Data
JMIR Public Health Surveill 2025 (Oct 27); 11:e79653
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Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study
JMIR AI 2025 (Oct 08); 4:e68260
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Mobile App–Assisted Self-Monitoring of Blood Glucose in Type 2 Diabetes in Ningbo, China: 12-Month Retrospective Cohort Study
JMIR Mhealth Uhealth 2025 (Sep 02); 13:e65919
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Trends in Mortality From Co-Occurring Diabetes Mellitus and Pneumonia in the United States (1999-2022): Retrospective Analysis of the Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) Database
JMIR Diabetes 2025 (Aug 07); 10:e78001
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The Relationship Between Sleep Disorders and Combination of Diabetes and Sarcopenia in Adults Aged 45 Years or Older: 10-Year Nationwide Prospective Cohort Study
JMIR Aging 2025 (Jun 02); 8:e66372
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Survival Tree Analysis of Interactions Among Factors Associated With Colorectal Cancer Risk in Patients With Type 2 Diabetes: Retrospective Cohort Study
JMIR Public Health Surveill 2025 (Apr 29); 11:e62756
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Early Detection of Type 1 Diabetes in First-Degree Relatives in Saudi Arabia (VISION-T1D): Protocol for a Pilot Implementation Study
JMIR Res Protoc 2025 (Apr 14); 14:e70575
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Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID-19 Pandemic: Mixed Methods Pilot Study
JMIR Form Res 2025 (Mar 31); 9:e67047
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Antibiotic Use In Utero and Early Life and Risk of Chronic Childhood Conditions in New Zealand: Protocol for a Data Linkage Retrospective Cohort Study
JMIR Res Protoc 2025 (Feb 28); 14:e66184
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Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study
JMIR Med Inform 2025 (Feb 05); 13:e64479
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Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study
JMIR Med Inform 2025 (Jan 28); 13:e64992
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