American society of anesthesiologists physical status classification significantly affects the performances of machine learning models in intraoperative hypotension inference-Reference-Cited by-同舟云学术

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American society of anesthesiologists physical status classification significantly affects the performances of machine learning models in intraoperative hypotension inference

Published:2024-02 Issue: Volume:92 Page:111309
ISSN:0952-8180
Container-title:Journal of Clinical Anesthesia
language:en
Short-container-title:Journal of Clinical Anesthesia

Author:

Dong Zehua,Chen Xiaoyu,Ritter Jodie,Bai Lihui,Huang Jiapeng

Funder

National Institute of Environmental Health Sciences

National Heart, Lung, and Blood Institute

National Institute of Allergy and Infectious Diseases

Publisher

Elsevier BV

Subject

Anesthesiology and Pain Medicine

Reference33 articles.

1. Prediction of blood pressure after induction of anesthesia using deep learning: a feasibility study;Jeong;Appl. Sci.,2019

2. Comparative analysis on machine learning and deep learning to predict post-induction hypotension;Lee;Sensors.,2020

3. Deep learning for intradialytic hypotension prediction in hemodialysis patients;Chen;IEEE Access,2020

4. Deep learning models for the prediction of intraoperative hypotension;Lee;Br. J. Anaesth.,2021

5. Deep-learning model for predicting 30-day postoperative mortality;Fritz;Br. J. Anaesth.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predictive ability of hypotension prediction index and machine learning methods in intraoperative hypotension: a systematic review and meta-analysis;Journal of Translational Medicine;2024-08-05

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