Interpretable prediction of prolonged length of stay for patients undergoing lumbar disc herniation surgery based on machine learning and SHAP
Abstract Background Prolonged length of stay (PLOS) is a key indicator of decreased healthcare quality. This study aims to identify the most suitable machine learning model for predicting PLOS in patients undergoing lumbar disc herniation surgery. Methods We retrospectively analyzed 1050 patients wh...
Wedi'i Gadw mewn:
| Prif Awduron: | , , , , |
|---|---|
| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
BMC
2026-01-01
|
| Cyfres: | BMC Health Services Research |
| Pynciau: | |
| Mynediad Ar-lein: | https://doi.org/10.1186/s12913-026-14121-0 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
|
