Strategic Analysis of Population Health Management using Machine Learning

The purpose of this research is to create a disease prediction system that can make precise inferences from user input using machine learning algorithms. The interface of the system will be carefully crafted according to the user requirements and workflow. Decision Tree, Random Forest, Naive Bayes, and K-Nearest Neighbors are among the efficient machine learning algorithms because of its high accuracy, efficiency, and performance. Patient information will be protected and in line with applicable healthcare rules and guidelines as the system is built according to the security and privacy standards. By giving doctors and nurses an expert-level tool to streamline their processes and improve the quality of care they provide to patients; the proposed system has the potential to dramatically alter the healthcare practices. Better patient outcomes and quality care can be achieved through the use of accurate and timely disease predictions by medical professionals.