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Advancements in Cardiovascular Disease Detection: Leveraging Data Mining and Machine Learning

2024-03-13

Abstract excerpt

Cardiovascular disease (CVD) is a significant global health concern, requiring early detection and accurate prediction for effective intervention. Machine learning (ML) offers a data-driven approach to analyzing patient data, identifying complex patterns and predicting CVD risk factors like blood pressure (BP), cholesterol levels, and genetic predispositions. Our research aims to predict CVD presence using ML algo...

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Literature Corpus work
0a356131-a6fe-5a92-befd-47262b3dc7de
DOI
10.1101/2024.03.09.584222
Open publication

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Advancements in Cardiovascular Disease Detection: Leveraging Data Mining and Machine LearningDOI 10.1101/2024.03.09.584222
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