Mary Nima B.

Artificial intelligence-driven predictive analytics for early detection and risk stratification of cardiovascular disease

It was demonstrated that machine learning (ML) and deep learning (DL) models consistently outperformed conventional cardiovascular risk prediction tools, achieving area under the receiver operating characteristic curve (AUC) values ranging from 0.80-0.99 across various cardiovascular conditions.