Heart Disease Prediction Using Multi-Constrain Support Vector Machine

5 Pages Posted: 26 Apr 2018

See all articles by Krishna Veni G.

Krishna Veni G.

Sri Padmavati Mahila Visvavidyalayam (SPMVV) - Department of Computer Science and Engineering

Sudha Dr.T.

Sri Padmavati Mahila Visvavidyalayam (SPMVV) - Department of Computer Science and Engineering

Date Written: February 7, 2018

Abstract

Data mining is the process of extracting intelligent information from huge amount of data. It helps to find the useful patterns of successful medical therapies for different illnesses and also it aims to find the intelligent information from large collections of data. This paper focuses on heart disease prediction using Multi-constrain SVM. Data can be collected from UCI Repository and preprocessed using SVD for feature selection. In this paper introduction about heart is provided. Thereafter, research methodology is presented and comparison is with the proposed work.

Keywords: Data mining, Multi-constrain SVM, SVD

Suggested Citation

G., Krishna Veni and Dr.T., Sudha, Heart Disease Prediction Using Multi-Constrain Support Vector Machine (February 7, 2018). 2018 IADS International Conference on Computing, Communications & Data Engineering (CCODE) 7-8 February, Available at SSRN: https://ssrn.com/abstract=3168309 or http://dx.doi.org/10.2139/ssrn.3168309

Krishna Veni G. (Contact Author)

Sri Padmavati Mahila Visvavidyalayam (SPMVV) - Department of Computer Science and Engineering ( email )

Padmavathi Nagar, Near West Railway Station,
Andhra Pradesh
Tirupati, Andhra Pradesh 517502
India

Sudha Dr.T.

Sri Padmavati Mahila Visvavidyalayam (SPMVV) - Department of Computer Science and Engineering ( email )

Padmavathi Nagar, Near West Railway Station,
Andhra Pradesh
Tirupati, Andhra Pradesh 517502
India

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