Heart Disease Prediction using Data Mining Techniques

Name: Heart Disease Prediction using Data Mining Techniques
Brand: LAP LAMBERT Academic Publishing
SKU: 9786208116972
Price: 210.76 RON
Availability: InStock

Autor: Rakesh Kumar

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Legare: Carte broșată

Editura: LAP LAMBERT Academic Publishing

Disponibilitate: În depozitul extern

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210.76 lei

Heart disease is a common cause of death for people around the world. The overall examination on rea...

Informații despre carte

Autor

Rakesh Kumar

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2024

Pagini

EAN

9786208116972

ISBN

620811697X

Enbook ID

46704501

Editura

LAP LAMBERT Academic Publishing

Greutate

107

Dimensiuni

150 x 220 x 4

Descriere completă

Heart disease is a common cause of death for people around the world. The overall examination on reasons for death because of coronary illness has been watched that it is the real reason for death. Analysis of these issues at beginning period helps the doctors in treating it at starting stage and to enhance the patient's wellbeing. In this manner the need to treat coronary illness that is found in individuals which precise entangled issues, if overlooked at beginning time. Different Data Mining Techniques can be used to analyze heart related issues. The essential point is an analysis of the Data Mining technique which is generally exact. There are different types of Data Mining Techniques such as Decision Tree, Naïve Bayesian, Support Vector Machine (SVM), K-NN classifier, Hybrid Approach, Artificial Neural Network ANN). In this book, we analyze different classification algorithms.

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Heart Disease Prediction using Data Mining Techniques

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