Study of Ensemble Classifier for Prediction in Health Care Data
DOI:
https://doi.org/10.51983/ajcst-2019.8.S1.1963Keywords:
Ensemble, Random Forest, Bagging and BoostingAbstract
Electronic health record systems are adapted in a good deal of health care facility to improve the quality of patient care which is maintained electronically. Developing a disease prediction model for health care system can help us to overcome the problem of medical distress. In this study, we suggest ensemble technology and statistical methods to search through massive amounts of information, analyzing it to predict outcomes for individual patients. Using Weka tool, breast-cancer and diabetes medical datasets have experimented with ensemble classifier.
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