مقالات پذیرفته شده در نهمین کنگره بین المللی زیست پزشکی
Digital Health Platforms for Postmenopausal Women: Predictive Informatics to Manage Multimorbidity and Healthy Aging
Digital Health Platforms for Postmenopausal Women: Predictive Informatics to Manage Multimorbidity and Healthy Aging
Fatemeh Kiani,1,*Reyhane Norouzi Aval,2
1. Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran 2. Department of Health Information Technology, Faculty of Paramedical and Rehabilitation Sciences, Mashhad University of Medical Sciences, Mashhad, Iran.
Introduction: Women in postmenopausal and geriatric stages experience unique health risks, including osteoporosis, cardiovascular disease, and cognitive decline. Digital health and informatics approaches are increasingly applied to optimize preventive care, yet their specific application to older women’s health is underexplored. To develop and evaluate a women-focused geriatric informatics framework integrating wearable data, reproductive-history markers, and AI-driven predictive analytics to detect early multimorbidity risks.
Methods: A longitudinal cohort of 1,050 postmenopausal women (aged 55–82) contributed self-reported reproductive health history (age at menopause, parity, hormonal therapy) combined with wearable derived physical activity and sleep data. Features were standardized via FHIR protocols and used to train a LightGBM classifier predicting 12 month risk of osteoporosis-related fractures and cardiovascular hospitalization.
Results: The model achieved AUROC = 0.81 for fracture prediction and 0.78 for cardiovascular outcomes. Integrating reproductive history improved predictive accuracy by ~9% compared with conventional models. Usability testing indicated high acceptability among participants (SUS = 82).
Conclusion: Informatics platforms that merge reproductive history with wearable monitoring can effectively stratify risk in postmenopausal women, supporting early interventions and promoting healthy aging.
Keywords: women’s health informatics; postmenopause; multimorbidity; predictive analytics; reproductive histor