Smart Health Prediction System
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Smart Health Prediction System
Authors:
Sahitya Vurimi
Dept. of CSE, Jain (Deemed-to-be University)
Abstract - In recent years, the integration of machine learning (ML) in healthcare systems has significantly transformed the landscape of disease diagnosis and patient care. By leveraging vast datasets and complex algorithms, ML enables early detection of diseases, enhances decision- making processes, and improves patient outcomes. This paper presents a comprehensive study of smart healthcare prediction models powered by ML. It explores the underlying technologies, analyzes existing literature, and proposes a novel framework for accurate and real-time health status prediction. The paper also evaluates the effectiveness of the proposed system through experimental results and discusses its implications for future healthcare systems.
Keywords: Smart healthcare, machine learning, disease prediction, healthcare analytics, patient care, artificial intelligence