Article

A spatiotemporally validated machine-learning score for venous thromboembolism risk after neurosurgery

2026-08-31

Abstract excerpt

<title>Abstract</title> <p>Background The Caprini model may overestimate postoperative venous thromboembolism (VTE) risk in neurosurgical patients, whereas existing machine-learning models often lack interpretability and robust external validation. We aimed to develop a concise and interpretable machine-learning-derived score for postoperative VTE risk after neurosurgery and to evaluate its temporal and external...

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Literature Corpus work: 076d36d3-7cb9-5a0a-b950-b9cd8d7ce99e
DOI: 10.21203/rs.3.rs-10755212/v1

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