Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection-Reference-Cited by-同舟云学术

Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection

Published:2024 Issue: Volume:12 Page:16431-16446
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ullah Tahseen¹^ORCID,Ullah Syed Irfan¹,Ullah Khalil²^ORCID,Ishaq Muhammad³^ORCID,Khan Ahmad⁴^ORCID,Ghadi Yazeed Yasin⁵^ORCID,Algarni Abdulmohsen⁶^ORCID

Affiliation:

1. Department of Computing and Technology, Abasyn University, Peshawar, Pakistan

2. Department Software Engineering, University of Malakand, Chakdara, Pakistan

3. Department of Computer Science, Helping Hand Institute of Rehabilitation Sciences, Mansehra, Pakistan

4. Department of Software Engineering, Mirpur University of Science and Technology, Mirpur, Azad Jammu Kashmir, Pakistan

5. Department of Computer Science, Al Ain University, Al Ain, United Arab Emirates

6. Department of Computer Science, King Khalid University, Abha, Saudi Arabia

Funder

Deanship of Scientific Research, King Khalid University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10416957.pdf?arnumber=10416957

Reference41 articles.

1. Classification models for heart disease prediction using feature selection and PCA

2. An artificial intelligence model for heart disease detection using machine learning algorithms

3. IoT based heart disease prediction and diagnosis model for healthcare using machine learning models

4. Improved heart disease diagnostic IoT model using machine learning techniques;Isravel;Int. J. Sci. Technol. Res.,2020

5. Machine Learning and IoT Applied to Cardiovascular Diseases Identification through Heart Sounds: A Literature Review

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1. Comprehensive Review of Machine Learning Applications in Heart Disease Prediction;International Journal of Innovative Science and Research Technology (IJISRT);2024-08-13

2. Detect the Cardiovascular Disease's in Initial Phase using a Range of Feature Selection Techniques of ML;International Research Journal of Multidisciplinary Technovation;2024-05-14