Work

A Comparison of Methods for Predicting Heart Disease: Neural Network, XGBoost, Gradient Boost, Logistic Regression, and SVM

Year: 2025

Type: conference-paper

Source: Proceedings of IEEE Southeastcon

DOI: 10.1109/southeastcon56624.2025.10971533

Authors: Mohammad Maydanchi, Mina Basiri, Armin Ziaei, Mehrbod Ziaei, Alireza Izadi, Saman Sargolzaei

Institutions: Auburn University, Tarbiat Modares University, The University of Texas at Dallas, University of Science and Culture, The University of Texas at San Antonio, University of Tennessee at Martin

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4409797014

FWCI: 3.284

Cites: 20

Cited by: 2

Related to: 10