Web based Predictive Health Analysis Portal using Machine Learning

In today’s world healthcare services play a predominant role in human well being. Medical services gateways are innovative solutions designed to tackle the increasing complexity and fragmentation present in today’s healthcare system. These gateways function as centralized platforms that promote effortless interoperability among various healthcare applications and they facilitate effective data exchange and integration across different systems. As the healthcare sector increasingly adopts digital advancements, these gateways offer a scalable and forward-thinking infrastructure that accommodates innovations such as telemedicine, wearable technology, and AI-driven diagnostics. By connecting various stakeholders, medical services gateways provides essential features like efficiency, accessibility, and quality of healthcare systems globally. This paper provides a detailed study about designing a web portal with the help of machine learning algorithm. This portal integrates supervised and unsupervised machine learning techniques to analyse the health condition and also helps us to book an appointment, store and access medical data. This healthcare portal is designed to provide people an user-friendly platform which is easily accessible and efficient to use.