Predictive Healthcare Web Analytics Using Machine Learning

Abstract

Data analytics reflects trends on the particular subject based on comparison with historical dataset and present dataset. With the advancement of technology, healthcare predictive analytics at periodic intervals affords insights into diseases collectively, identifying risk of the patients' health in the future. The novelty of this project is to analyze symptoms and healthcare datasets, to predict the risk of the mentioned diseases using machine learning algorithms to better time management and convenience for physicians and the general population. Hence, the proposed model provides the provision to save patients directly from risk to the particular disease based on the periodic trend analysis. On the contrary, the hospital will utilize the proposed model to control future disease outbreaks.