Diagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial.

2.50
Hdl Handle:
http://hdl.handle.net/10033/609603
Title:
Diagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial.
Authors:
Grigull, Lorenz ( 0000-0001-8807-2874 ) ; Lechner, Werner; Petri, Susanne; Kollewe, Katja; Dengler, Reinhard; Mehmecke, Sandra; Schumacher, Ulrike; Lücke, Thomas; Schneider-Gold, Christiane; Köhler, Cornelia; Güttsches, Anne-Katrin; Kortum, Xiaowei; Klawonn, Frank
Abstract:
Diagnosis of neuromuscular diseases in primary care is often challenging. Rare diseases such as Pompe disease are easily overlooked by the general practitioner. We therefore aimed to develop a diagnostic support tool using patient-oriented questions and combined data mining algorithms recognizing answer patterns in individuals with selected neuromuscular diseases. A multicenter prospective study for the proof of concept was conducted thereafter.
Affiliation:
Helmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Citation:
Diagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial. 2016, 16:31 BMC Med Inform Decis Mak
Journal:
BMC medical informatics and decision making
Issue Date:
2016
URI:
http://hdl.handle.net/10033/609603
DOI:
10.1186/s12911-016-0268-5
PubMed ID:
26957320
Type:
Article
Language:
en
ISSN:
1472-6947
Appears in Collections:
publications of the research group cellular proteom research (CPRO)

Full metadata record

DC FieldValue Language
dc.contributor.authorGrigull, Lorenzen
dc.contributor.authorLechner, Werneren
dc.contributor.authorPetri, Susanneen
dc.contributor.authorKollewe, Katjaen
dc.contributor.authorDengler, Reinharden
dc.contributor.authorMehmecke, Sandraen
dc.contributor.authorSchumacher, Ulrikeen
dc.contributor.authorLücke, Thomasen
dc.contributor.authorSchneider-Gold, Christianeen
dc.contributor.authorKöhler, Corneliaen
dc.contributor.authorGüttsches, Anne-Katrinen
dc.contributor.authorKortum, Xiaoweien
dc.contributor.authorKlawonn, Franken
dc.date.accessioned2016-05-18T14:03:13Zen
dc.date.available2016-05-18T14:03:13Zen
dc.date.issued2016en
dc.identifier.citationDiagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial. 2016, 16:31 BMC Med Inform Decis Maken
dc.identifier.issn1472-6947en
dc.identifier.pmid26957320en
dc.identifier.doi10.1186/s12911-016-0268-5en
dc.identifier.urihttp://hdl.handle.net/10033/609603en
dc.description.abstractDiagnosis of neuromuscular diseases in primary care is often challenging. Rare diseases such as Pompe disease are easily overlooked by the general practitioner. We therefore aimed to develop a diagnostic support tool using patient-oriented questions and combined data mining algorithms recognizing answer patterns in individuals with selected neuromuscular diseases. A multicenter prospective study for the proof of concept was conducted thereafter.en
dc.language.isoenen
dc.titleDiagnostic support for selected neuromuscular diseases using answer-pattern recognition and data mining techniques: a proof of concept multicenter prospective trial.en
dc.typeArticleen
dc.contributor.departmentHelmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.en
dc.identifier.journalBMC medical informatics and decision makingen
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