Application of XGBoost in the prediction of acute postoperative pain after major noncardiac surgery in older patients

A high-performance algorithm was developed and validated to predict the degree of change in postoperative pain; controlling important characterizing variables may be helpful for postoperative analgesia.

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Publication Details

Journal
Molecular Pain
Published
2025-08-26
DOI
https://doi.org/10.1177/17448069251376199
Citations
1
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
1.39
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article

Application of XGBoost in the prediction of acute postoperative pain after major noncardiac surgery in older patients

Weixuan Sheng, Yihong Sun, Xiao Hu, Huihui Miao et al.
1 citations
Molecular Pain
Cardiac, Anesthesia and Surgical Outcomes
1.39
article

Application of XGBoost in the prediction of acute postoperative pain after major noncardiac surgery in older patients

Weixuan Sheng, Yihong Sun, Xiao Hu, Huihui Miao, D Wang, L Du, Kang Yu
article en
1 citations

Abstract

A high-performance algorithm was developed and validated to predict the degree of change in postoperative pain; controlling important characterizing variables may be helpful for postoperative analgesia.

Molecular PainVol. 21
Capital Medical University (CN), Beijing Shijitan Hospital (CN)
Openalex Percentile: Top 15%
Cardiac, Anesthesia and Surgical Outcomes
1.39
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Application of XGBoost in the prediction of acute postoperative pain after major noncardiac surgery in older patients — Weixuan Sheng, Yihong Sun, et al. · Molecular Pain (2025) | TGRS Research Map | TGRS