Evaluating Cardiometabolic Indices for Predicting Thrombotic Risk in the Indian Adult Population: A Comparative Analysis

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Cardiometabolic indices are quick measures of visceral adipose dysfunction that bear significant association with risk of future thrombotic events. Traditionally, body mass index (BMI) and waist circumference (WC) have been used for screening large population masses. With the advent of novel indices with better predictive value, it is imperative to validate the utility of th...

Topics

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• Adiposity
• Biological Specimen Banks
• Clustering Algorithms
• Decision Support Techniques
• Machine Learning
• Peripheral Arterial Disease
• Predictive Learning Models
• UK Biobank

Identifiers and source

Literature Corpus work

13b55d12-68f1-5987-bd18-3cf2207a0322

DOI

10.1101/2025.07.18.25331803