Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set.
Objective: Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiological Functional Parameters (CAFPAs) were recently int...
| Publicado en: | International Journal of Audiology Vol. 59; no. 7; pp. 534 - 548 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jul2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=144475282&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 144475282 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14992027 JW2 jtl: International Journal of Audiology issn: 14992027 maglogo: Y pubinfo: dt: Jul2020 vid: 59 iid: 7 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 144475282 144475282 145569026 144475282 10.1080/14992027.2020.1728401 144475282 ppf: 534 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set. aug: au: Buhl, Mareike Warzybok, Anna Schädler, Marc René Majdani, Omid Kollmeier, Birger affil: Medizinische Physik, Universität Oldenburg, Oldenburg, Germany sug: subj: Models, Statistical Audiology Functional Assessment Methods Minimum Data Set Human Funding Source Probability Descriptive Statistics Age Factors Hearing Disorders ab: Objective: Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiological Functional Parameters (CAFPAs) were recently introduced for the purpose of integrating data from different databases by providing an abstract representation of audiological measurements. This paper aims at collecting expert labels for a sample database and to determine statistical models from the labelled data set. Design: By an expert survey, CAFPAs as well as labels for audiological findings and treatment recommendations were collected for patients from the database of Hörzentrum Oldenburg. Study sample: A total of 287 single patient cases were assessed by twelve highly experienced audiological experts. Results: The labelled data set was used to derive probability density functions for categories given by the expert labels. The collected data set is suitable for estimating training distributions due to realistic variability contained in data for different, distinct categories. Suitable distribution functions were determined. The derived training distributions were compared regarding different audiological questions. Conclusions: The method-expert survey, sorting data into categories, and determining training distributions – could be extended to other data sets, which could then be integrated via the CAFPAs and used in a classification task. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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