Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023

Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023

Abstract Background Cardiovascular disorders (CVDs) are the leading cause of death worldwide. Lower- and middle-income countries (LMICs), such as Bangladesh, are also affected by several types of CVDs, such as heart failure and stroke. The leading cause of death in Bangladesh has recently switched f...

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Bibliographic Details
Main Authors: Sorif Hossain, Mohammad Kamrul Hasan, Mohammad Omar Faruk, Nelufa Aktar, Riyadh Hossain, Kabir Hossain
Format: Article
Language:English
Published: BMC 2024-04-01
Series:BMC Cardiovascular Disorders
Subjects:
Cardiovascular disease
Machine learning
Random forest
Feature selection
Bangladesh
Online Access:https://doi.org/10.1186/s12872-024-03883-2

Internet

https://doi.org/10.1186/s12872-024-03883-2

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