Logo - springer
Slogan - springer

Engineering - Computational Intelligence and Complexity | Mental Health Informatics

Mental Health Informatics

Lech, M., Song, I., Yellowlees, P., Diederich, J. (Eds.)

2014, X, 253 p. 85 illus.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-642-38550-6

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-642-38549-0

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • First book on "Mental Health Informatics" on the market
  • Presents computational methods in mental health
  • Written by a leading expert in the field

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).

Content Level » Research

Keywords » Computational Intelligence - Doctor Patien Interatcion - Mental Health Disorder - Mental Health Informatics

Related subjects » Health Informatics

Table of contents 

Mental 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.

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Intelligence.