Lech, Margaret, Song, Insu, Yellowlees, Peter, and Diederich, Joachim (2014) Mental Health Informatics. Studies in Computational Intelligence, 491 . Springer, Berlin, Germany.

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Abstract

This 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).

Research Statement

Research Background	Mental health has become one of the top 5 most costly medical conditions. Its total expenditure has almost doubled in 10 years causing serious burden to all societies. There is a clear need for improving both quality and efficiency of mental health care. Computerized mental health assessment has been inherently more challenging due to lack of clear understanding of bio-markers and signals associated with mental health problems.
Research Contribution	This 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).
Research Significance	First book on "Mental Health Informatics" on the market. Presents computational methods in mental health. Written by a leading expert in the field.
Item ID:	28687
Item Type:	Book (Edited)
ISBN:	978-3-642-38549-0
ISSN:	1860-9503
Keywords:	computational intelligence; doctor patient interaction; mental health disorder; mental health informatics
Date Deposited:	31 Mar 2014 05:55
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes:	92 HEALTH > 9202 Health and Support Services > 920209 Mental Health Services @ 100%
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