| Moving prediction of exacerbation in chronic obstructive pulmonary disease for patients in telecare. | |
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MedLine Citation:
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PMID: 22267305 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We investigated whether physiological data can be used for predicting chronic obstructive pulmonary disease (COPD) exacerbations. Home measurements from 57 patients were analysed, during which 10 exacerbations occurred in nine patients. A total of 273 different features were evaluated for their discrimination abilities between periods with and without exacerbations. The analysis showed that if a sensitivity level of 70% is considered to be acceptable, then the specificity was 95% and the AUC was 0.73, i.e. it is possible to discriminate between periods of exacerbation and periods without. A system capable of predicting risk could provide support to COPD patients in their tele-rehabilitation. |
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Authors:
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Morten H Jensen; Simon L Cichosz; Birthe Dinesen; Ole K Hejlesen |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-1-20 |
Journal Detail:
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Title: Journal of telemedicine and telecare Volume: - ISSN: 1758-1109 ISO Abbreviation: - Publication Date: 2012 Jan |
Date Detail:
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Created Date: 2012-1-23 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9506702 Medline TA: J Telemed Telecare Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Department of Health Science and Technology, Aalborg University, Denmark. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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