Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study

Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study

Abstract Background Effective management of postoperative pain remains a significant challenge in obstetric care due to the variability in pain perception and response influenced by physical, medical, and psychosocial factors. Current standardized pain management protocols often fail to accommodate...

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Bibliographic Details
Main Authors: Shenjuan Lv, Ning Sun, Chunhui Hao, Junqing Li, Yun Li
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Anesthesiology
Subjects:
Machine learning
Pain management
Post-cesarean pain
SHAP values
Esketamine
Online Access:https://doi.org/10.1186/s12871-025-03034-w
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https://doi.org/10.1186/s12871-025-03034-w

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