Abstract:
The purpose of this article is the development of an information system for cardiovascular disease prediction based on machine learning technology. The accuracy of such m...View moreMetadata
Abstract:
The purpose of this article is the development of an information system for cardiovascular disease prediction based on machine learning technology. The accuracy of such methods as logistic regression, random forest, support vector machine and artificial neural network is more than 85%, which is also a good result. Techniques such as k-nearest neighbours and decision tree classifier, which showed 68.65% and 78.69% accuracy, respectively, coped with the worst task.
Published in: 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT)
Date of Conference: 22-25 September 2021
Date Added to IEEE Xplore: 27 December 2021
ISBN Information: