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Development and validation of a machine learning-based risk model for prolonged length of stay after laparoscopic gastrointestinal surgery in women: A secondary analysis of the FDP-PONV trail

2025-06-17

Abstract excerpt

<title>Abstract</title> <p>Background Prolonged length of stay (PLOS) after surgery is associated with several clinical risks and increased medical costs. We aimed to develop a risk model for PLOS based on clinical features throughout pre-, intra-, and post-operative periods in women undergoing laparoscopic gastrointestinal surgery. Methods Women who underwent laparoscopic gastrointestinal surgery in the FDP-PO...

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Literature Corpus work
d37eac28-dbb5-5f7e-a2bd-c5b3d053f61e
DOI
10.21203/rs.3.rs-6659561/v1
Open publication

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Development and validation of a machine learning-based risk model for prolonged length of stay after laparoscopic gastrointestinal surgery in women: A secondary analysis of the FDP-PONV trailDOI 10.21203/rs.3.rs-6659561/v1
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