The Future of AI: Transitioning from Raw Data to Predictive Models in Medical Datasets Introduction: In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative forces in the healthcare sector, enhancing efficiency, accuracy, and personalization. The capacity of machine learning to analyze extensive medical data and derive significant insights is leading to the development of predictive models that can profoundly influence patient outcomes. This discussion will delve into how AI is revolutionizing the healthcare domain through its application in medical datasets, transitioning from raw data to actionable insights. The Growing Significance of Medical Datasets Medical Datasets plays a pivotal role in advancing healthcare research and improving patient care. Historically, medical datasets were often siloed and underutilized, frequently confined to paper records or scattered across disparate systems. The advent of electronic health records (EHRs)...