COMORBIDITY PROGNOSTICATION USING MACHINE LEARNING

Abstract: The inspiration is gathered for this project to relieve the burden of multiple diseases and shift the negatives into proactive healthcare strategies. Leaving in the edge of evolved technologies utilizing the advantages of health system that may help many people to reduce cost and increase their health profiles. The project's scope is extensive, focusing on predicting the likelihood of various diseases in individuals based on patients unique health profiles. At the heart of this initiative are machine learning models, specifically assemblage technique such as Random Forests and Gradient Boosting, which utilize diverse data sources to provide precise and personalized risk assessments.