Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation

Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation

Abstract Background Predicting the length of stay in advance will not only benefit the hospitals both clinically and financially but enable healthcare providers to better decision-making for improved quality of care. More importantly, understanding the length of stay of severe patients who require g...

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Bibliographic Details
Main Authors: Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Tae Joon Jun, Young-Hak Kim
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Healthcare management
Predictive analysis
Decision support system
Online Access:https://doi.org/10.1186/s12911-024-02755-1

Internet

https://doi.org/10.1186/s12911-024-02755-1

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