Improving the Heart Disease Detection and Patients’ Survival Using Supervised Infinite Feature Selection and Improved Weighted Random Forest-Reference-Cited by-同舟云学术

Improving the Heart Disease Detection and Patients’ Survival Using Supervised Infinite Feature Selection and Improved Weighted Random Forest

Author:

Abdellatif Abdallah¹,Abdellatef Hamdan²^ORCID,Kanesan Jeevan¹^ORCID,Chow Chee-Onn¹^ORCID,Chuah Joon Huang¹^ORCID,Gheni Hassan Muwafaq³^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia

2. Electrical and Computer Engineering Department, School of Engineering, Lebanese American University, Byblos, Lebanon

3. Computer Techniques Engineering Department, Al-Mustaqbal University College, Hillah, Iraq

Funder

Ministry of Higher Education through the Fundamental Research Grant Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference49 articles.

3. Refined weighted random forest and its application to credit card fraud detection;xuan;Proc Int Conf Comput Social Netw,2018

4. Using random forest to learn imbalanced data;chen;Univ California Berkeley,2004

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