Managing Editor
@ShahidNShah
@ShahidNShah
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 formative years due to their requirement for lifelong care and monitoring. The dataset, collected from 2019 to 2022 by Serbia’s Healthcare Center through an observational cross-sectional study, posed challenges common to medical datasets, including imbalances, data scarcity, and a need for transparent, explainable predictive models.
Medigy Insights
Employing accessible AutoML tools (such as AutoGluon) significantly improves early detection of adolescent conditions like hypertension and hyperinsulinemia, offering a scalable route for risk-screening in pediatric populations.
Continue reading at link.springer.com
Make faster decisions with community advice
- C-suite zeroes in on patient experience. Here's why.
- Enhancing the Innovation Ecosystem: Overcoming Challenges to Introducing Information-Driven Technologies in Health Care
- Hybrid Hospital-at-Home Program in Singapore: Ethnographic Study
- What to Expect in US Healthcare in 2025 and Beyond
- A “True Lifecycle Approach” towards governing healthcare AI with the GCC as a global governance model
Next Article
-
C-suite zeroes in on patient experience. Here's why.
More hospital c-suite executives are prioritizing the patient experience in the coming years than ever before, with new data from Sage Growth Partners underscoring the role digital health will play in …
