Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms
Heart disease is recognized as one of the leading factors of death rate worldwide. Biomedical instruments and various systems in hospitals have massive quantities of clinical data. Therefore, understanding the data related to heart disease is very important to improve prediction accuracy. This artic...
Saved in:
Main Authors: | Kaushalya Dissanayake, Md Gapar Md Johar |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2021/5581806 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting Heart Diseases by Selective Machine Learning Algorithms
by: N. Umar, et al.
Published: (2025-02-01) -
Comparative Analysis of Deep Learning Algorithm for Cancer Classification using Multi-omics Feature Selection
by: Nur Sabrina Azmi, et al.
Published: (2022-10-01) -
An Efficient Feature Subset Selection Algorithm for Classification of Multidimensional Dataset
by: Senthilkumar Devaraj, et al.
Published: (2015-01-01) -
A novel feature selection technique: Detection and classification of Android malware
by: Sandeep Sharma, et al.
Published: (2025-03-01) -
Efficient Feature Selection and Classification of Protein Sequence Data in Bioinformatics
by: Muhammad Javed Iqbal, et al.
Published: (2014-01-01)