Article

Machine Learning for Predicting Medical Error Risks in Greek Surgery Departments

2025-05-21

Abstract excerpt

Patient safety is a critical global health 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) to predict medical error risks in the general surgery department of a Greek Tertiary/University Hospital. Leveraging a 10-year dataset of 19,965 patient records, we applied...

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Literature Corpus work: fbee012a-a158-52aa-8f53-3cd9593f9a42
DOI: 10.20944/preprints202505.1658.v1

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