Journal article
An exploratory statistical approach to depression pattern identification
QY Feng, F Griffiths, N Parsons, J Gunn
Physica A Statistical Mechanics and Its Applications | ELSEVIER | Published : 2013
Abstract
Depression is a complex phenomenon thought to be due to the interaction of biological, psychological and social factors. Currently depression assessment uses self-reported depressive symptoms but this is limited in the degree to which it can characterise the different expressions of depression emerging from the complex causal pathways that are thought to underlie depression. In this study, we aimed to represent the different patterns of depression with pattern values unique to each individual, where each value combines all the available information about an individual's depression. We considered the depressed individual as a subsystem of an open complex system, proposed Generalized Informati..
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Grants
Awarded by National Health and Medical Research Council
Funding Acknowledgements
The Diamond study was initiated with pilot funding from the beyondblue Victorian Centre of Excellence and the main cohort has received project grant funding from the National Health and Medical Research Council (ID 299869, 454463, 566511 & 1002908). The one-year Computer Assisted Telephone Interview was funded by a Stream 3 grant from the Australian Primary Health Care Research Institute (APHCRI). No funding body had a role in study design; the collection, analysis, and interpretation of data; the writing of the manuscript; or the decision to submit this manuscript for publication. We acknowledge the 30 dedicated GPs, their patients and practice staff for making this research possible. We thank the cohort participants for their ongoing involvement in the study. We also thank the Diamond project investigators and project team staff who provided assistance in preparing the data for analysis and providing the data files. Furthermore, we thank Dr. Victoria Mason for editing the paper.