Title :
Computational Objectivity in Depression Assessment for Unstructured Large Datasets
Author :
Aaron Johnson;Paul Holmes;Lewis Craske;Marcello Trovati;Nik Bessis;Peter Larcombe
Author_Institution :
Dept. of Comput. &
Abstract :
The Patient Health Questionnaire (PHQ-9) is the depression module, which provides a score correlating to each of the Depression Severity Measure (DSM-IV) criteria, whose output is a total score suggesting which category of depression a patient slots into. In this paper we propose a novel method to potentially improve the current system in place for health professionals in diagnosing depression. Thus, our objective is to propose a more computational method of measurement, similar to the PHQ-9 already in place, with a mathematical ranking system based on a large unstructured dataset consisting of abstracts available from PubMed.
Keywords :
"Reliability","Text mining","Correlation","Current measurement","Medical services","Mental disorders","Yttrium"
Conference_Titel :
Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on
DOI :
10.1109/CIT/IUCC/DASC/PICOM.2015.308