Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Here we propose an approach for developing a diagnosis system for mood disorders, such as depression and bipolar disorder, based on language analysis from speech and text. Our system is based on the Mood State Indicator algorithm (MSI) for real-time analysis of a patient's mental state. MSI is designed to give a quantitative measure of cognitive state based on axiological values and time orientation of lexical features. MSI's multi-layered analytic engine consists of multiple information processing modules to systematically retrieve, parse and process features of a patient's discourse. Gold standard clinical criteria will be used to match language analysis indicators to mood disorder diagnosis. © 2013 IEEE.

Original publication

DOI

10.1109/MICAI.2013.50

Type

Conference paper

Publication Date

01/12/2013

Pages

234 - 243