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Unveiling the Future of Postoperative Outcomes Prediction: The Role of Machine Learning and Trust in Healthcare.

作者信息

Hofer Ira S, Wax David B

机构信息

Department of Anesthesiology, Mount Sinai School of Medicine, 1 Gustave L. Levy Pl, Box 1010, New York, NY, 10029, USA.

出版信息

J Med Syst. 2024 Sep 21;48(1):91. doi: 10.1007/s10916-024-02106-7.

DOI:10.1007/s10916-024-02106-7
PMID:39304559
Abstract
摘要

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J Med Syst. 2024 Jul 23;48(1):69. doi: 10.1007/s10916-024-02085-9.
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Prediction of the development of acute kidney injury following cardiac surgery by machine learning.机器学习预测心脏手术后急性肾损伤的发生。
Crit Care. 2020 Jul 31;24(1):478. doi: 10.1186/s13054-020-03179-9.
3
Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set.
使用单一特征集预测术后死亡率、急性肾损伤和再次插管的深度神经网络模型的开发与验证。
NPJ Digit Med. 2020 Apr 20;3:58. doi: 10.1038/s41746-020-0248-0. eCollection 2020.
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Machine Learning Prediction of Postoperative Emergency Department Hospital Readmission.机器学习预测术后急诊再次住院。
Anesthesiology. 2020 May;132(5):968-980. doi: 10.1097/ALN.0000000000003140.
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Science. 2019 Oct 25;366(6464):447-453. doi: 10.1126/science.aax2342.
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NPJ Digit Med. 2018 May 8;1:18. doi: 10.1038/s41746-018-0029-1. eCollection 2018.
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