Affiliation:
1. Akal University, India
Abstract
The emerging technologies are revolutionizing predictive analytics in HealthCare domain. The research in this sector has made great strides in managing disease management, which has eventually resulted in the saving of lives. The report significantly provides the progress of sophisticated learning methods capable of deciphering complex data relationships, thereby transforming broad datasets into actionable insights for disease diagnosis and prognosis. This goal is to assess the scope of ML and DL in healthcare predictions, focusing on the urgent need for reliable, accurate, and timely predictions while addressing ethical challenges. The authors provide a summary of the approaches worked under predictive analytics in healthcare, emphasizing its lifesaving potential through better decision-making through identifying barriers, suggestions, and future pathways.