A Novel Deep Fuzzy Rule Based System for Early Heart Disease Risk Prediction

Dublin Core

Title

A Novel Deep Fuzzy Rule Based System for Early Heart Disease Risk Prediction

Subject

The International Conference on Recent Trends in Computer Science, Technology, Data Science and Applications

Description

NGM College Library

Creator

Mrs. G. Angayarkanni & Dr. M. Rajasenathipathi

Source

NGM College Library

Publisher

The International Conference on Recent Trends in Computer Science, Technology, Data Science and Applications

Date

[no text]

Contributor

NGM College Library

Rights

[no text]

Relation

[no text]

Format

[no text]

Language

English

Type

[no text]

Identifier

[no text]

Coverage

[no text]

Alternative Title

[no text]

Abstract

[no text]

Table Of Contents

[no text]

Date Available

[no text]

Date Created

[no text]

Date Accepted

[no text]

Date Copyrighted

[no text]

Date Submitted

[no text]

Date Issued

[no text]

Date Modified

[no text]

Date Valid

[no text]

Access Rights

[no text]

License

[no text]

Conforms To

[no text]

Has Format

[no text]

Has Part

[no text]

Has Version

[no text]

Is Format Of

[no text]

Is Part Of

[no text]

Is Referenced By

[no text]

Is Replaced By

[no text]

Is Required By

[no text]

Is Version Of

[no text]

References

[no text]

Replaces

[no text]

Requires

[no text]

Extent

[no text]

Medium

[no text]

Bibliographic Citation

[no text]

Spatial Coverage

[no text]

Temporal Coverage

[no text]

Accrual Method

[no text]

Accrual Periodicity

[no text]

Accrual Policy

[no text]

Audience

[no text]

Audience Education Level

[no text]

Mediator

[no text]

Instructional Method

[no text]

Provenance

[no text]

Rights Holder

[no text]

Files

1. G. Angayarkanni.pdf

Citation

Mrs. G. Angayarkanni & Dr. M. Rajasenathipathi, A Novel Deep Fuzzy Rule Based System for Early Heart Disease Risk Prediction, The International Conference on Recent Trends in Computer Science, Technology, Data Science and Applications , accessed June 28, 2025, https://ir.ngmclibrary.in/items/show/3518