Image Processing With Machine Learning In Health Care Management System:- Ogbonna Chisom P

ABSTRACT The image processing techniques is revolutionizing healthcare by enabling real-time monitoring of patients' vital signs. Image processing and machine learning has led to transfonnative innovations across a wide range of health care. The rapid advancement of technology has led to significant improvements in healthcare delivery enabled image processing and machine learning provide continuous tracking of vital signs, allowing early detection of medical conditions; and prompt intervention. The problem statement of this research focus on lack of data confidentiality, lack of patent protection for diagnostic tools, genes and biomarkers, unauthorized access to data, issues in addressing disparities, lack of equitable access to advanced healthcare, security measures to protect patient privacy .. The aim of this project focuses on the development of an image processing with machine learning in health care management system that would be able to track and process image of patients for easy identification. The objectives of this research are to develop a platform for an image processing with machine learning in health care management system, build a database structure used to store data, create a module used to login and register users, design a platform that capture medical image, design a platform that process image with machine learning, create a platform used to view patient detail, design a platform that view verified patient detail and design a platform that show all register details. The project was realized through the adoption of primary and secondary sources of data collection which includes interview, observation, questionnaire, the internet and journals. The research methodology used is spiral model. Software is designed using Html, PHP and java script and MYSQL for the database. The results showed that' by integrating Al, cloud computing, and wearable technology, these systems improve patient outcomes, reduce hospital workload, and enhance healthcare accessibility