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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

2025-08-26

Abstract excerpt

<h4>ABSTRACT</h4> <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 a...

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Literature Corpus work: 02961c80-d1bb-54a5-a649-6f70c8d7fd7b
DOI: 10.1101/2025.08.22.25334217

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