Patient's Experience in Pediatric Primary Immunodeficiency Disorders: Computerized Classification of Questionnaires.
dc.contributor.author | Mücke, Urs | |
dc.contributor.author | Klemann, Christian | |
dc.contributor.author | Baumann, Ulrich | |
dc.contributor.author | Meyer-Bahlburg, Almut | |
dc.contributor.author | Kortum, Xiaowei | |
dc.contributor.author | Klawonn, Frank | |
dc.contributor.author | Lechner, Werner M | |
dc.contributor.author | Grigull, Lorenz | |
dc.date.accessioned | 2017-08-22T13:09:24Z | |
dc.date.available | 2017-08-22T13:09:24Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Patient's Experience in Pediatric Primary Immunodeficiency Disorders: Computerized Classification of Questionnaires. 2017, 8:384 Front Immunol | en |
dc.identifier.issn | 1664-3224 | |
dc.identifier.pmid | 28424699 | |
dc.identifier.doi | 10.3389/fimmu.2017.00384 | |
dc.identifier.uri | http://hdl.handle.net/10033/621069 | |
dc.description.abstract | Primary immunodeficiency disorders (PIDs) are a heterogeneous group of more than 200 rare diseases. Timely diagnosis is of uttermost importance. Therefore, we aimed to develop a diagnostic questionnaire with computerized pattern-recognition in order to support physicians to identify suspicious patient histories. | |
dc.language.iso | en | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.title | Patient's Experience in Pediatric Primary Immunodeficiency Disorders: Computerized Classification of Questionnaires. | en |
dc.type | Article | en |
dc.contributor.department | Helmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany. | en |
dc.identifier.journal | Frontiers in immunology | en |
refterms.dateFOA | 2018-06-13T04:24:52Z | |
html.description.abstract | Primary immunodeficiency disorders (PIDs) are a heterogeneous group of more than 200 rare diseases. Timely diagnosis is of uttermost importance. Therefore, we aimed to develop a diagnostic questionnaire with computerized pattern-recognition in order to support physicians to identify suspicious patient histories. |