A machine learning-based framework for predicting postpartum chronic pain: a retrospective study.

ABSTRACT:

Background

Postpartum chronic pain is prevalent, affecting many women after delivery. Machine learning algorithms have been widely used in predicting postoperative conditions. We investigated the prevalence of and risk factors for postpartum chronic pain, and aimed to develop a machine learning model for its prediction.

Methods

Pregnant women in our tertiary hospital were screened from July 2021 to June 2022. Postoperative pain intensity was assessed using the numerical rating scale at 1, 3, and 6 months after delivery. Six machine learning algorithms were benchmarked using the nested resampling method, and their performance was evaluated based on classification error (CE). The algorithm with the best performance evaluation was used to establish the model for predicting chro

SUBMITTER: Liu F 

PROVIDER: S-EPMC12007194 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature