Article

Methodological Review of Classification Trees for Risk Stratification: An Application Example in the Obesity Paradox

2025-05-07

Abstract excerpt

<h4>Background: </h4> Classification trees (CTs) are widely used machine learning algorithms with growing applications in clinical research, especially for risk stratification. Their ability to generate interpretable decision rules makes them attractive to healthcare professionals. This review provides an accessible yet rigorous overview of CT methodology for clinicians, highlighting their utility through a case s...

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Literature Corpus work: 8efc5e8b-5037-533d-bf6b-734d8081aa1d
DOI: 10.20944/preprints202505.0316.v1

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