Please use this identifier to cite or link to this item: https://dora.health.qld.gov.au/qldresearchjspui/handle/1/3599
Title: Making digital auscultation accessible and accurate
Authors: Roseby, R.
Marzbanrad, F.
Kevat, A. C.
Issue Date: 2021
Source: 56, (2), 2021, p. 352-353
Pages: 352-353
Journal: Pediatric Pulmonology
Abstract: L20076209372020-12-21
DOI: 10.1002/ppul.25210
Resources: https://www.embase.com/search/results?subaction=viewrecord&id=L2007620937&from=exporthttp://dx.doi.org/10.1002/ppul.25210 |
Keywords: differential diagnosis;disease severity;human;letter;lung auscultation;measurement accuracy;medical research;odds ratio;pediatrician;pneumonia;prediction;artificial intelligence;respiratory tract disease;support vector machine;technology;thorax radiography;three dimensional printing;validity;wheezing;stethoscopeabnormal respiratory sound;priority journal;childhood mortality;crackle;diagnostic accuracy
Type: Article
Appears in Sites:Children's Health Queensland Publications

Show full item record

Page view(s)

26
checked on Mar 20, 2025

Google ScholarTM

Check

Altmetric


Items in DORA are protected by copyright, with all rights reserved, unless otherwise indicated.