Diagnostic Support for Selected Paediatric Pulmonary Diseases Using Answer-Pattern Recognition in Questionnaires Based on Combined Data Mining Applications--A Monocentric Observational Pilot Study.

2.50
Hdl Handle:
http://hdl.handle.net/10033/615983
Title:
Diagnostic Support for Selected Paediatric Pulmonary Diseases Using Answer-Pattern Recognition in Questionnaires Based on Combined Data Mining Applications--A Monocentric Observational Pilot Study.
Authors:
Rother, Ann-Katrin; Schwerk, Nicolaus; Brinkmann, Folke; Klawonn, Frank; Lechner, Werner; Grigull, Lorenz
Abstract:
Clinical symptoms in children with pulmonary diseases are frequently non-specific. Rare diseases such as primary ciliary dyskinesia (PCD), cystic fibrosis (CF) or protracted bacterial bronchitis (PBB) can be easily missed at the general practitioner (GP).
Affiliation:
Helmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Citation:
Diagnostic Support for Selected Paediatric Pulmonary Diseases Using Answer-Pattern Recognition in Questionnaires Based on Combined Data Mining Applications--A Monocentric Observational Pilot Study. 2015, 10 (8):e0135180 PLoS ONE
Journal:
PloS one
Issue Date:
2015
URI:
http://hdl.handle.net/10033/615983
DOI:
10.1371/journal.pone.0135180
PubMed ID:
26267801
Type:
Article
Language:
en
ISSN:
1932-6203
Appears in Collections:
publications of the research group cellular proteom research (CPRO)

Full metadata record

DC FieldValue Language
dc.contributor.authorRother, Ann-Katrinen
dc.contributor.authorSchwerk, Nicolausen
dc.contributor.authorBrinkmann, Folkeen
dc.contributor.authorKlawonn, Franken
dc.contributor.authorLechner, Werneren
dc.contributor.authorGrigull, Lorenzen
dc.date.accessioned2016-07-12T13:38:26Z-
dc.date.available2016-07-12T13:38:26Z-
dc.date.issued2015-
dc.identifier.citationDiagnostic Support for Selected Paediatric Pulmonary Diseases Using Answer-Pattern Recognition in Questionnaires Based on Combined Data Mining Applications--A Monocentric Observational Pilot Study. 2015, 10 (8):e0135180 PLoS ONEen
dc.identifier.issn1932-6203-
dc.identifier.pmid26267801-
dc.identifier.doi10.1371/journal.pone.0135180-
dc.identifier.urihttp://hdl.handle.net/10033/615983-
dc.description.abstractClinical symptoms in children with pulmonary diseases are frequently non-specific. Rare diseases such as primary ciliary dyskinesia (PCD), cystic fibrosis (CF) or protracted bacterial bronchitis (PBB) can be easily missed at the general practitioner (GP).en
dc.language.isoenen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subject.meshChilden
dc.subject.meshChild, Preschoolen
dc.subject.meshData Interpretation, Statisticalen
dc.subject.meshData Miningen
dc.subject.meshFemaleen
dc.subject.meshHumansen
dc.subject.meshInfanten
dc.subject.meshLung Diseasesen
dc.subject.meshMaleen
dc.subject.meshPilot Projectsen
dc.subject.meshSurveys and Questionnairesen
dc.titleDiagnostic Support for Selected Paediatric Pulmonary Diseases Using Answer-Pattern Recognition in Questionnaires Based on Combined Data Mining Applications--A Monocentric Observational Pilot Study.en
dc.typeArticleen
dc.contributor.departmentHelmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.en
dc.identifier.journalPloS oneen

Related articles on PubMed

This item is licensed under a Creative Commons License
Creative Commons
All Items in HZI are protected by copyright, with all rights reserved, unless otherwise indicated.