The week's pick
Reseach Article
Heart Disease Risk Predictor System using Data Mining Learning Techniques: Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 23 |
| Year of Publication: 2020 |
| Authors: Ashutosh Kumar Singh, Asmita Dixit, Aatif Jamshed |
10.5120/ijca2020920198
|
Ashutosh Kumar Singh, Asmita Dixit, Aatif Jamshed . Heart Disease Risk Predictor System using Data Mining Learning Techniques: Analysis. International Journal of Computer Applications. 176, 23 ( May 2020), 23-30. DOI=10.5120/ijca2020920198
Abstract
In this paper author throws the light on how the cast amount of data developed by healthcare firms is not utilized properly for making better decisions. The main objective of this research is developing such a model Intelligent Heart Disease Prediction System (IHDPS) with the help of three data mining modelling techniques, namely, Decision Trees prediction model, Naïve Bayes probability technique and Neural Network. The Intelligent Heart Disease Prediction System (IHDPS) enables better approach in finding and extricating hidden knowledge (patterns and relationships) associated with heart disease from previous heart disease repository. It enables answering complex queries for diagnosing heart disease and thus assisting in healthcare practitioners. It helps in making intelligent clinical decisions.
References
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