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020 _a9783319514635
_9978-3-319-51463-5
024 7 _a10.1007/978-3-319-51463-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
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082 0 4 _a006.3
_223
100 1 _aTarnowska, Katarzyna A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954274
245 1 0 _aDecision Support System for Diagnosis and Treatment of Hearing Disorders
_h[electronic resource] :
_bThe Case of Tinnitus /
_cby Katarzyna A. Tarnowska, Zbigniew W. Ras, Pawel J. Jastreboff.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aX, 160 p. 33 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v685
505 0 _aPreface -- Introduction -- Tinnitus treatment as a problem area -- Recommender solutions overview -- Knowledge discovery approach for recommendation -- RECTIN system design -- Experiment 1: classifiers -- Experiment 2: diagnostic rules -- Experiment 3: treatment rules -- Experiment 4: treatment rules enhancement -- RECTIN implementation -- Final conclusions and future work -- References.
520 _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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aMedical informatics.
_94729
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aHealth Informatics.
_931799
700 1 _aRas, Zbigniew W.
_eauthor.
_0(orcid)0000-0002-8619-914X
_1https://orcid.org/0000-0002-8619-914X
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954275
700 1 _aJastreboff, Pawel J.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954276
710 2 _aSpringerLink (Online service)
_954277
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319514628
776 0 8 _iPrinted edition:
_z9783319514642
776 0 8 _iPrinted edition:
_z9783319846576
830 0 _aStudies in Computational Intelligence,
_x1860-9503 ;
_v685
_954278
856 4 0 _uhttps://doi.org/10.1007/978-3-319-51463-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79323
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