Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.

We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.

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Publication Details

Journal
PubMed
Published
2025-03-20
DOI
https://doi.org/10.3967/bes2025.005
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.

Pengfeï Liu, Jie Duo, Xiao Hu, Dong Xin Wang et al.
PubMed
Cardiac, Anesthesia and Surgical Outcomes
article

Predicting Postoperative Circulatory Complications in Older Patients: A Machine Learning Approach.

Pengfeï Liu, Jie Duo, Xiao Hu, Dong Xin Wang, Ya Wei Li, Sheng Wang, Hui Hui Miao, Kang Yu
article en

Abstract

We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.

PubMedVol. 38(3)
Capital Medical University (CN), Peking University (CN), Peking University First Hospital (CN), Beijing Shijitan Hospital (CN)
Openalex Percentile: Top 86%
Cardiac, Anesthesia and Surgical Outcomes
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