# An efficient framework for heart disease classification using feature extraction and feature selection technique in data mining

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-efficient-framework-for-heart-disease-classification-using-feature-extraction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | R. Kavitha,E. Kannan |
| Citations | 91 |
| DOI | 10.1109/icetets.2016.7603000 |
| Fields | Chemistry,Computer Science,Health Professions |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2547550709 |
| Type | conference-paper |
| Year | 2016 |

## Paper authors

- [E. Kannan](https://scholariq.org/researchers/e-kannan/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.