Evaluating HEALTH CARE Units USING MACHINE LEARNING MODELS

  • Swathi Cheripelli, Dr A N K Prasannanjaneyul, N Kiran Kumar

Abstract

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.

Published
2020-04-26
How to Cite
Swathi Cheripelli, Dr A N K Prasannanjaneyul, N Kiran Kumar. (2020). Evaluating HEALTH CARE Units USING MACHINE LEARNING MODELS. International Journal of Advanced Science and Technology, 29(06), 1334 - 1347. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/11811