Article

Machine Learning for Predicting Medical Error Risks in Greek Surgery Departments

2026-04-27

Abstract excerpt

Patient safety remains a global priority, with surgical errors—including in-hospital infections and procedural mishaps—causing over 7 million adverse events and 1 million deaths annually. This study evaluates machine learning (ML) for predicting medical error risks in the general surgery department of a Greek tertiary/university hospital. Using a 10-year dataset of 19,965 anonymized patient records (13.5% error ca...

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Literature Corpus work: 06aca662-fe07-5f0e-ae3e-fdf29e1ffedb
DOI: 10.20944/preprints202505.1658.v2

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