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

Rother, Ann-Katrin
; 
Schwerk, Nicolaus
; 
Brinkmann, Folke
; ; 
Lechner, Werner
; 
Grigull, Lorenz
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2015
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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).
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
Affiliation
Helmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
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Journal
PloS one
URI
http://hdl.handle.net/10033/615983
DOI
10.1371/journal.pone.0135180
PubMed ID
26267801
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Article
Language
en
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1932-6203
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publications of the research group cellular proteom research (CPRO)