A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting-Reference-Cited by-同舟云学术

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A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting

Published:2019-09 Issue: Volume: Page:1
ISSN:1529-7535
Container-title:Pediatric Critical Care Medicine
language:en
Short-container-title:Pediatric Critical Care Medicine

Author:

Kwizera Arthur,Kissoon Niranjan,Musa Ndidiamaka,Urayeneza Olivier,Mujyarugamba Pierre,Patterson Andrew J.,Harmon Lori,Farmer Joseph C.,Dünser Martin W.,Meier Jens

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Critical Care and Intensive Care Medicine,Pediatrics, Perinatology, and Child Health

Cited by 11 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. Geographical validation of the Smart Triage Model by age group;PLOS Digital Health;2024-07-01

2. A Preliminary Investigation into Use of Admission-Recorded Photoplethysmograms for Predicting Hospital Mortality in Children with Confirmed or Suspected Infection in Resource-Poor Settings;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

3. Geographical validation of the Smart Triage Model by age group;2023-07-06

4. Artificial Intelligence for Global Healthcare;Artificial Intelligence in Medical Virology;2023

5. The use of machine learning and artificial intelligence within pediatric critical care;Pediatric Research;2022-11-14

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