Evaluating HEALTH CARE Units USING MACHINE LEARNING MODELS
Evaluating the Health Care units on a scale of 1-5 with an objective to make it easier for patients and consumers to know the quality of different Health Care units, howwell they are providing theirservices to the patients.This evaluation may impact the Consumer on choosing the Health Care Units for their needs and the generation of revenue may have significant impact on those Units. Thus, it is extremely important for Health Care units to understand how the evaluation has been performed, what are their strengths and weaknesses so that they can focus more on those and know the prioritizedfactors, with that their performance will be improved. In this our focus on developing an approach using machine learning models to identify measures for improvement of Health Care Units .In this paper for evaluating we are considered 64 measures (or variables) which are classified under 7 groups, each group is having a certain weightage. It will also require a thorough understanding of the rating system developed by CMS.