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Using Discrete- and Continuous-Time Machine Learning Models (Nnet, CoxNet, GLMnet) to Explore Sex and Age Differences in Stroke Prediction Among Hypertensive Individuals

2025-08-21

Abstract excerpt

<h4>Introduction: </h4> Stroke is one of the leading causes of death and long-term disability globally. Several studies have investigated the incidence and predictors of stroke in the healthy population; only a few have specifically focused on stroke risk prediction among individuals with hypertension. Given that hypertension is the most common modifiable risk factor for stroke, this represents an important resear...

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Literature Corpus work: 86fc1ad7-52ad-50cb-abec-63f7a58f1568
DOI: 10.20944/preprints202508.1550.v1

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