This study developed a multi-risk prediction framework using Cardiorespiratory Fitness Data to predict the risk of mortality, hypertension, and diabetes. The Auto-Weka framework was…
Browsing: Hypertension
This paper presents a new dataset for AP disease and compares different Machine Learning algorithms to predict AP. An explainable approach based on Generalized…
This article discusses the use of machine learning algorithms to identify important anthropometric factors that may predict hypertension (HTN) in adults aged 35-65 years.…
This study used machine learning approaches to investigate whether body composition indices derived from bioelectrical impedance analysis (BIA) can predict hypertension in a cohort…