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100   $a20131119d2014      u|             0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMental Health Informatics$b[electronic resource] /$fedited by Margaret Lech, Insu Song, Peter Yellowlees, Joachim Diederich
205   $a1st ed. 2014.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014.
215   $a1 online resource (X, 253 p. 85 illus.)
225 1 $aStudies in Computational Intelligence,$x1860-949X ;$v491
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-642-38549-4 
327   $aMental Health Informatics: Current approaches -- The Rise of Person-Centered Healthcare and the Influence of Health Informatics and Social Network Applications on Mental Health Care -- The Changing Doctor-Patient Relationship ? a Move to Anytime, Anywhere -- Novel Approaches to Clinical Care in Mental Health - from Asynchronous Telepsychiatry to Virtual Reality -- Speech Analysis for Mental Health Assessment using Support Vector Machines -- Social Networks and Automated Mental Health Screening -- Generating Explanations from Support Vector Machines for Psychological Classifications -- An Alternative Method of Analysis in the Absence of Control Group -- Stress and Emotion Recognition using Acoustic Speech Analysis.
330   $aThis book introduces approaches that have the potential to transform the daily practice of psychiatrists and psychologists. This includes the asynchronous communication between mental health care providers and clients as well as the automation of assessment and therapy. Speech and language are particularly interesting from the viewpoint of psychological assessment. For instance, depression may change the characteristics of voice in individuals and these changes can be detected by a special form of speech analysis. Computational screening methods that utilise speech and language can detect subtle changes and alert clinicians as well as individuals and caregivers. The use of online technologies in mental health, however, poses ethical problems that will occupy concerned individuals, governments and the wider public for some time. Assuming that these ethical problems can be solved, it should be possible to diagnose and treat mental health disorders online (excluding the use of medication).
410  0$aStudies in Computational Intelligence,$x1860-949X ;$v491
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aBiomedical engineering
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   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
606   $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aBiomedical engineering.
615  0$aHealth informatics.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aBiomedical Engineering and Bioengineering.
615 24$aHealth Informatics.
676   $a006.3
702   $aLech$b Margaret$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aSong$b Insu$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aYellowlees$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aDiederich$b Joachim$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910299723403321
996   $aMental Health Informatics$92240984
997   $aUNINA