Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis

Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis

The escalating prevalence and acute manifestations of Acute Coronary Syndrome (ACS) necessitate advanced early detection mechanisms. Traditional methodologies exhibit limitations in predictive accuracy, sensitivity, and timeliness, thus hindering effective intervention and patient care management. T...

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Bibliographic Details
Main Authors: Shital Hajare, Rajendra Rewatkar, K.T.V. Reddy
Format: Article
Language:English
Published: AIMS Press 2024-08-01
Series:AIMS Bioengineering
Subjects:
acute coronary syndrome
machine learning
feature selection
risk assessment
data preprocessing
Online Access:https://www.aimspress.com/article/doi/10.3934/bioeng.2024016
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https://www.aimspress.com/article/doi/10.3934/bioeng.2024016

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