Development of Machine Learning Solutions for Securing Patient Data in Health Care Systems

The objective of this research is to develop a machine learning-based solution as an application for protecting patient data in modern hospitals. The program will use several machine learning techniques to detect and prevent cyber security assaults on health information while also protecting patient privacy. The proposed system would evaluate massive amounts of data using machine learning techniques and deep learning with federated learning to identify possible security issues and maintain patient data privacy. Advanced encryption technologies will also be used in the system to ensure that patient data is always safe. Modern hospitals may secure the security, integrity, and availability of patient data by using this application, which is critical in the healthcare business. This project will help to create creative ways to increase data security in modern hospitals, resulting in better patient care and safety.