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

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Authors
Rother, Ann-Katrin
Schwerk, Nicolaus
Brinkmann, Folke
Klawonn, Frank cc
Lechner, Werner
Grigull, Lorenz
Issue Date
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.
Journal
PloS one
URI
http://hdl.handle.net/10033/615983
DOI
10.1371/journal.pone.0135180
PubMed ID
26267801
Type
Article
Language
en
ISSN
1932-6203
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http://creativecommons.org/licenses/by-nc-sa/4.0/
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-sa/4.0/