Artificial intelligence, machine learning and the pediatric airway-Reference-Cited by-同舟云学术

Artificial intelligence, machine learning and the pediatric airway

Published:2020-03 Issue:3 Volume:30 Page:264-268
ISSN:1155-5645
Container-title:Pediatric Anesthesia
language:en
Short-container-title:Pediatr Anaesth

Author:

Matava Clyde¹²^ORCID,Pankiv Evelina¹²,Ahumada Luis³,Weingarten Benjamin¹,Simpao Allan⁴^ORCID

Affiliation:

1. Department of Anesthesia and Pain Medicine The Hospital for Sick Children Toronto ON Canada

2. Department of Anesthesiology and Pain Medicine Faculty of Medicine University of Toronto Toronto ON Canada

3. Health Informatics Core Johns Hopkins All Children's Hospital St. Petersburg FL USA

4. Department of Anesthesiology and Critical Care Perelman School of Medicine at the University of Pennsylvania and Children's Hospital of Philadelphia Philadelphia PA USA

Publisher

Wiley

Subject

Anesthesiology and Pain Medicine,Pediatrics, Perinatology, and Child Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/pan.13792

Reference27 articles.

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2. Accurate Classification of Difficult Intubation by Computerized Facial Analysis

3. The Use of a Neural Network to Detect Upper Airway Obstruction Caused by Goiter

4. Internal-state analysis in a layered artificial neural network trained to categorize lung sounds

5. Effective asthma disease prediction using naive Bayes & #x2014; Neural network fusion technique;Aneja S;IEEE,2015

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