Neural networks applied to retrocochlear diagnosis.
Methodologies have been developed, based on insights from signal detection theory, to evaluate quantitatively the diagnostic performance of tests. Several studies have demonstrated that, in fact, performance of a test battery can be inferior to the best of the tests it includes. These studies have b...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 42; no. 2; pp. 287 - 300 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
American Speech-Language-Hearing Association
Apr1999
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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=107211681&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107211681 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Apr1999 vid: 42 iid: 2 pid: 42 pub: American Speech-Language-Hearing Association place: Rockville, Maryland artinfo: ui: 107211681 107211681 1999061881 10.1044/jslhr.4202.287 NLM10229447 107211681 ppf: 287 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Neural networks applied to retrocochlear diagnosis. aug: au: Callan DE Lasky RE Fowler CG affil: University of Wisconsin-Madison, Department of Communicative Disorders. E-mail: dcallan@hip.atr.co.jp sug: subj: Cochlea Physiopathology Diagnosis, Ear Neural Networks (Computer) Evoked Potentials, Auditory, Brainstem Retrospective Design Vestibule, Labyrinth Pathology Neoplasms Hearing Loss, Sensorineural Reflex, Acoustic Predictive Value of Tests Clinical Assessment Tools Human ab: Methodologies have been developed, based on insights from signal detection theory, to evaluate quantitatively the diagnostic performance of tests. Several studies have demonstrated that, in fact, performance of a test battery can be inferior to the best of the tests it includes. These studies have been quite persuasive in damping enthusiasm for the test battery approach. Because the results of all tests in a battery were weighted equally in these studies, it is not surprising that an individual test with good sensitivity and specificity is more effective diagnostically than a combination of tests with poorer sensitivity and specificity. The authors of many of these studies were well aware of the limitations of this approach. In the present study, neural networks were applied to evaluate audiological tests used to predict retrocochlear pathology by differentially weighting the results of the tests in the battery. This technique avoids some of the limitations of previous approaches. Of the audiological tests evaluated in the present analysis, the superiority of the auditory brainstem evoked response (ABR) in predicting retrocochlear disease was again demonstrated. However, the results also demonstrated that identification accuracy could be improved by combining the ABR with other tests (in this case contralateral acoustic reflex at 2000 Hz, ipsilateral acoustic reflex at 2000 Hz, tone decay, and word recognition score). Further, it was demonstrated that performance could be improved over that obtained using dichotomous test measures (i.e., positive or negative presence of pathology) by using raw test measures in conjunction with ABR. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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