International journal of medical informatics
Aug 8, 2015
OBJECTIVE: To develop an expandable knowledge base of reusable knowledge related to self-management of diabetes that can be used as a foundation for patient-centric decision support tools.
Automated phenotype identification plays a critical role in cohort selection and bioinformatics data mining. Natural Language Processing (NLP)-informed classification techniques can robustly identify phenotypes in unstructured medical notes. In this ...
IEEE journal of biomedical and health informatics
May 19, 2014
Diabetes mellitus is a chronic disease and a worldwide public health challenge. It has been shown that 50-80% proportion of T2DM is undiagnosed. In this paper, support vector machines are utilized to screen diabetes, and an ensemble learning module i...
Journal of diabetes science and technology
Jan 1, 2011
BACKGROUND: As America's baby boom generation reaches retirement, the number of elders, and, in turn, the number of lay individuals who support them, will continue to increase. With the important services caregivers provide, it is critical that we re...
European journal of preventive cardiology
Jan 6, 2026
AIMS: As the global population ages, cardiovascular diseases, particularly heart failure (HF), have become leading causes of mortality and disability among elderly patients. Diabetes and hypertension are major risk factors for cardiovascular diseases...
BACKGROUND: Heart failure (HF) and diabetes mellitus (DM) frequently coexist, exacerbating disease progression and increasing hospital readmission risk. Accurate prediction of readmission in HF patients with DM remains a clinical challenge. This stud...
International journal of medical informatics
Oct 1, 2025
BACKGROUND: Digital interventions are increasingly used in outpatient diabetes care to address growing healthcare demands and workforce limitations. This study investigates the functionalities of digital solutions and their impact on Quadruple Aim ou...
Ecotoxicology and environmental safety
Sep 1, 2025
BACKGROUND: Diabetes Mellitus (DM) is a global health concern with rising prevalence, and its link to PFAS exposure remains unclear. No machine learning (ML) models have yet been developed to predict DM based on PFAS exposure.
Studies in health technology and informatics
Aug 7, 2025
Diabetes, a chronic disease, often leads to poor health outcomes and increased healthcare costs, particularly for patients admitted to ICU. Accurate early prediction of ICU length of stay (LOS) is vital for hospital resource management and patient ou...
Studies in health technology and informatics
Aug 7, 2025
Managing chronic diabetes in rural Taiwan remains challenging due to limited medical access and low health literacy. This pilot study evaluated a two-month, two-phase intervention using Bluetooth-enabled glucometers, smart wristbands, and a gamified ...
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