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010   $a3-319-51463-6
024 7 $a10.1007/978-3-319-51463-5
035   $a(CKB)3710000001079857
035   $a(DE-He213)978-3-319-51463-5
035   $a(MiAaPQ)EBC5595858
035   $a(PPN)19886907X
035   $a(EXLCZ)993710000001079857
100   $a20170226d2017      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDecision Support System for Diagnosis and Treatment of Hearing Disorders $eThe Case of Tinnitus /$fby Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (X, 160 p. 33 illus.)
225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v685
300   $aIncludes index.
311   $a3-319-51462-8 
327   $aPreface -- Introduction -- Tinnitus treatment as a problem area  -- Recommender solutions overview -- Knowledge discovery approach for recommendation -- RECTIN system design -- Experiment 1: classi?ers -- Experiment 2: diagnostic rules -- Experiment 3: treatment rules -- Experiment 4: treatment rules enhancement -- RECTIN implementation -- Final conclusions and future work -- References.
330   $aThe book presents a knowledge discovery based approach to build a recommender system supporting a physician in treating tinnitus patients with the highly successful method called Tinnitus Retraining Therapy. It describes experiments on extracting novel knowledge from the historical dataset of patients treated by Dr. P. Jastreboff so that to better understand factors behind therapy's effectiveness and better personalize treatments for different profiles of patients. The book is a response for a growing demand of an advanced data analytics in the healthcare industry in order to provide better care with the data driven decision-making solutions. The potential economic benefits of applying computerized clinical decision support systems include not only improved efficiency in health care delivery (by reducing costs, improving quality of care and patient safety), but also enhancement in treatment's standardization, objectivity and availability in places of scarce expert's knowledge on this difficult to treat hearing disorder. Furthermore, described approach could be used in assessment of the clinical effectiveness of evidence-based intervention of various proposed treatments for tinnitus.
410  0$aStudies in Computational Intelligence,$x1860-949X ;$v685
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aHealth informatics
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aHealth informatics.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aHealth Informatics.
676   $a617.806
700   $aTarnowska$b Katarzyna A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0868645
702   $aRas$b Zbigniew W$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aJastreboff$b Pawel J$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910254163403321
996   $aDecision Support System for Diagnosis and Treatment of Hearing Disorders$91939098
997   $aUNINA