Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling

Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling

Abstract Introduction Living in poverty, especially in low-income countries, are more affected by cardiovascular disease. Unlike the developed countries, it remains a significant cause of preventable heart disease in the Sub-Saharan region, including Ethiopia. According to the Ethiopian Ministry of...

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Bibliographic Details
Main Authors: Melaku Tadege, Awoke Seyoum Tegegne, Zelalem G. Dessie
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Cardiac disease patients
Machine learning
Parametric regression
Survival
Log-rank test
Cardiac surgery
Online Access:https://doi.org/10.1186/s12911-024-02480-9

Internet

https://doi.org/10.1186/s12911-024-02480-9

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