- Tytuł:
- Predicting Length of Stay using machine learning for total joint replacements performed at a rural community hospital.
- Autorzy:
- Źródło:
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PloS one [PLoS One ] 2022 Nov 10; Vol. 17 (11), pp. e0277479. Date of Electronic Publication: 2022 Nov 10 (Print Publication: 2022). - Typ publikacji:
- Journal Article; Research Support, Non-U.S. Gov't
- MeSH Terms:
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Hospitals , Rural*
Arthroplasty, Replacement*
Humans ; Length of Stay ;Hospitals , Community ; Pilot Projects ; Machine Learning ; Postoperative Complications
Czasopismo naukowe