Titlebook: Mental Health Informatics; Margaret Lech,Insu Song,Joachim Diederich Book 2014 Springer-Verlag Berlin Heidelberg 2014 Computational Intell

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The Changing Doctor-Patient Relationship: A Move to Anytime, Anywhere,ooks at who is using the Internet for healthcare and what is done with the information found online. Third we discuss what mental healthcare services are offered online and the effectiveness of these services. Fourth we compare the current and past models of the doctor-patient relationship in which

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Speech Analysis for Mental Health Assessment Using Support Vector Machines,fier was developed that predicts specific SLD items (e.g., poverty of speech) and makes the final diagnostic decisions by combining the SLD assessment results to provide an overall assessment of the underlying mental condition. In particular, we evaluate the SVM classifiers as to their ability to pr

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An Alternative Method of Analysis in the Absence of Control Group,. Method: 12 control group participants were each interviewed for about 20 min. The interviews were then rated for disorganised speech using TLC, CLANG, and SVM. Data for the schizophrenic group were obtained from Tilaka. Results: It was found that two-class SVM was as good as TLC and CLANG in diagn

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Detection and Prediction of Clinical Depression,the acoustic changes in speech are detectable as early as two years before depression symptoms are recognisable by conventional diagnostic methods. This chapter describes applications of the automatic speech analysis to the diagnosis and prediction of clinical depression.

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Automated Method for Diagnosing Speech and Language Dysfunction in Schizophrenia,were then compared. Receiver Operating Characteristic (ROC) curve analysis demonstrated that Ex-Ray differentiated schizophrenic patients from normal subjects with an accuracy rate of 98 %, but did not outperform the scales at a significant level. Even though Ex-Ray is a valid and reliable measure o

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