Yarakam Shiva Chaitanya Reddy

Conceptualising heart disease prediction through a unified framework combining clinical theory and machine learning models

The results show that it is feasible to make better predictions and gain valuable insights by merging these two types of data and that integrating unstructured data allows for a more holistic view of patient health, leading to earlier detection, personalized interventions, and improved decision-making in clinical settings.