Open AccessDEVELOPING AN INTEGRATED MODEL BASED ON NAÏVEBAYES AND DECISION TREE ALGORITHMS IN THE EARLY DETECTION AND DIAGNOSIS OF CARDIAC DISEASES
Author(s) -
Ishaan Gupta
Publication year - 2021
Publication title -
international journal of research in medical sciences and technology
Language(s) - English
Resource type - Journals
eISSN - 2455-5134
pISSN - 2455-9059
DOI - 10.37648/ijrmst.v11i02.009
Subject(s) - naive bayes classifier , decision tree , demise , computer science , information extraction , machine learning , bayes' theorem , artificial intelligence , knowledge extraction , decision tree learning , data science , data mining , algorithm , bayesian probability , political science , support vector machine , law
The extraction of concealed information from the enormous data sets is informationmining, and it is otherwise called Knowledge Discovery Mining. It has manyassignments. One of them utilized here is prescient errands that use a few factors toforesee obscure or future upsides of another dataset. The significant medical issue thatinfluences countless individuals is a coronary illness. Except if it is treated at abeginning phase, it causes demise. Today, the Healthcare business creates an enormousmeasure of perplexing information about the patients and assets of the emergencyclinics, from a period where there has been no good spotlight on compellingexamination instruments to find connections in communication, particularly in theclinical area. The methods of mining information are utilized to examine richassortments of details according to alternate points of view and infer useful data tofoster analysis and anticipating frameworks for coronary illness dependent on prescientmining. Various preliminaries are taken up to look at the exhibitions of differentinformation mining procedures, including Decision trees and Naïve Bayes calculations.As proposed, the peril factors are pondered, Decision trees and Naïve Bayes are applied,and the show of their finding have been investigated by the UCI Machine LearningRepository I,e WEKA instrument. Thusly, the Naïve Bayes beats the Decision tree.