Impact of Data Driven Decision Making in Healthcare Analytic
Principal Investigator
Name
May Myat
Degrees
Ph.D, computer science, (2022-2025)
Institution
University of Technology, Yatanarpon Cyber City(UTYCC), Pyin Oo Lwin, Myanmar
Position Title
student
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1064
Initial CDAS Request Approval
Oct 18, 2022
Title
Impact of Data Driven Decision Making in Healthcare Analytic
Summary
Healthcare analytic give health professionals new information processed and validated by knowledgeable data scientist. Machine learning proves to be effective in assisting in making decision and predictions . Analysis of Medical Record has been still dependent on statistical and physical analysis in most part of the world. Though statistical and physical analysis provides better results, it highly depends on stable historical relationships. This research aims to develop the electronic medical record system based on the combination of physical and statistical model. The proposed system developed data-driven decision making system using electronic medical records. It extracted features of demographic information and medical image from medical database mRMR method are used for selecting better features from dummy variables and features of medical image. Prediction the diseases are done by regression analysis model.
Aims
* Develop a data driven decision making system of electronic medical records based on the combination of Minimum Redundancy Maximum Relevance (mRMR) and Regression Analysis.
* Proposed to investigate the mixture explanatory variables which is created from the demographic information and medical image of patients.
Collaborators
Nandar Win at University of Technology, Yatanarpon Cyber City(UTYCC), Pyin Oo Lwin, Myanmar.