Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM).

Abstract

BACKGROUND Key lifestyle-environ risk factors are operative for depression, but it is unclear how risk factors cluster. Machine-learning (ML) algorithms exist that learn, extract, identify and map underlying patterns to identify groupings of depressed individuals without constraints. The aim of this research was to use a large epidemiological study to… (More)
DOI: 10.1016/j.eurpsy.2016.06.003

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Cite this paper

@article{Dipnall2017WhySG, title={Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM).}, author={Joanna F. Dipnall and J. A. Pasco and Maurice Berk and L. J. Williams and Stacy M Dodd and Felice N. Jacka and D. Meyer}, journal={European psychiatry : the journal of the Association of European Psychiatrists}, year={2017}, volume={39}, pages={40-50} }