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@ShahidNShah
Exploring the Integration of Medical and Preventive Chronic Disease Health Management in the Context of Big Data
Chronic non-communicable diseases (NCDs) pose a significant global health burden, exacerbated by aging populations and fragmented healthcare systems. This study employs a comprehensive literature review method to systematically evaluate the integration of medical and preventive services for chronic disease management in the context of big data, focusing on pre—hospital risk prediction, in—hospital clinical prevention, and post—hospital follow—up optimization.
Medigy Insights
Big-data-driven systems combining clinical care and public-health prevention (for example risk-prediction models, tele-monitoring, and wearable data) can shift U.S. chronic-disease care from reactive to proactive, improving early detection and reducing long-term costs.
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Innovations in Early Detection of Chronic Non-Communicable Diseases Among Adolescents Through An Easy-to-Use AutoML Paradigm
In this research, we present an interpretable AutoML approach for the early diagnosis of hypertension and hyperinsulinemia among adolescents, conditions that are critical to identify during these …
