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Regression vs. Medical LLMs: A Comprehensive Study for CVD and Mortality Risk Prediction

2026-03-11

Abstract excerpt

Cardiovascular diseases (CVDs) remain the foremost cause of global morbidity and mortality, driving an urgent need for robust predictive tools that enable early detection and preventive intervention. Traditional regression-based models—such as linear and logistic regression, regression trees and forests, and Support Vector Machines (SVMs)—have long underpinned CVD risk estimation but often assume linear relationsh...

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Literature Corpus work
95dcbd90-461c-57f8-a5a6-680ae1cf7718
DOI
10.64898/2026.03.11.26347789
Open publication

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Regression vs. Medical LLMs: A Comprehensive Study for CVD and Mortality Risk PredictionDOI 10.64898/2026.03.11.26347789
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