AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes

• DOI: 10.1007/s11227-020-03481-x
• Publication Date: 2020-11-04T09:09:22Z
• Authors: V. Jackins; S. Vimal; M. Kaliappan; Mi Young Lee
• Keywords: 0301 basic medicine; 03 medical and health sciences; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; 3. Good health

Abstract Healthcare practices include collecting all kinds of patient data which would help the doctor correctly diagnose health condition patient. These could be simple symptoms observed by subject, initial diagnosis a physician or detailed test result from laboratory. Thus, these are only utilized for analysis who then ascertains disease using his/her personal medical expertise. The artificial intelligence has been used with Naive Bayes classification and random forest algorithm to classify many datasets like diabetes, heart disease, cancer check whether is affected that not. A performance both algorithms calculated compared. results simulations show effectiveness techniques on dataset, as well nature complexity dataset used.