Open AccessClassification of Diabetes using Random Forest with Feature Selection Algorithm
Author(s) -
K.Koteswara Chari*,
M.Chinna Babu,
Sarangam Kodati
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l3595.119119
Subject(s) - random forest , diabetes mellitus , feature selection , computer science , machine learning , algorithm , artificial intelligence , feature (linguistics) , data mining , medicine , linguistics , philosophy , endocrinology
Diabetes has become a serious problem now a day. So there is a need to take serious precautions to eradicate this. To eradicate, we should know the level of occurrence. In this project we predict the level of occurrence of diabetes. We predict the level of occurrence of diabetes using Random Forest, a Machine Learning Algorithm. Using the patient’s Electronic Health Records (EHR) we can build accurate models that predict the presence of diabetes.