Machine learning predicting hypotension in operating room: application of deep neural networks on continuous physiologic waveforms for early prediction of intraoperative hypotension

被引：0

作者：

Kim, Sungsoo ^{[1
,2
]}

Kwon, Sohee ^{[1
]}

Bovik, Alan C. ^{[2
]}

Markey, Mia K. ^{[3
]}

Cannesson, Maxime ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Dept Anesthesiol & Perioperat Med, Los Angeles, CA USA

[2] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA

[3] Univ Texas Austin, Dept Biomed Engn, Austin, TX 78712 USA

来源：

ANESTHESIA AND ANALGESIA | 2023年 / 136卷

关键词：

D O I：

暂无

中图分类号：

R614 [麻醉学];

学科分类号：

100217 ;

摘要：

引用

页码：90 / 91

页数：2

共 43 条

[1] Deep learning models for the prediction of intraoperative hypotension
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BRITISH JOURNAL OF ANAESTHESIA, 2021, 126 (04) : 808 - 817
[2] Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study
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[3] PREDICTION OF INTRAOPERATIVE HYPOTENSION: LOGISTIC REGRESSION VS DEEP LEARNING METHODS
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[4] Intraoperative Hypotension Prediction Model Based on Systematic Feature Engineering and Machine Learning
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[5] Predictive ability of hypotension prediction index and machine learning methods in intraoperative hypotension: a systematic review and meta-analysis
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[7] Reducing Intraoperative Hypotension Using a Machine Learning-Derived Early Warning System
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[8] A Machine Learning Approach for Predicting Real Time Risk of Intraoperative Hypotension in Traumatic Brain Injury
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[9] Intraoperative Hypotension Prediction Based on Features Automatically Generated Within an Interpretable Deep Learning Model
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[10] Reducing Intraoperative Hypotension Using a Machine Learning-Derived Early Warning System Reply
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