Prediction of Blood Lactate Levels in Children after Cardiac Surgery using Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Prediction of Blood Lactate Levels in Children after Cardiac Surgery using Machine Learning Algorithms

Published:2023-02-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)
language:
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Author:

Hussain Hafiz Khawar¹,Ahmad Ahsan¹,Adam Muhammad Ali²,Kiruthiga T.³,Gupta Ketan⁴

Affiliation:

1. DePaul University,Chicago,IL,60604

2. DePaul University - College of Computing and Digital Media (CDM),Chicago,IL,60604

3. Vetri Vinayaha College of Engineering and Technology,Dept. of ECE,Trichy,India

4. University of The Cumberlands,Dept. of Information Technology,Williamsburg,KY,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073654/10073655/10073941.pdf?arnumber=10073941

Reference31 articles.

1. Prediction algorithm for ICU mortality and length of stay using machine learning

2. Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study

3. Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: A retrospective observational study;huyut;Medical Gas Research,2022

4. A Comprehensive Way to Access Hospital Death Prediction Model for Acute Mesenteric Ischemia: A Combination of Traditional Statistics and Machine Learning

5. Lactate and lactate clearance in acute cardiac care patients

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