Creating an Empirically Based Classification System for Mental Illness

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/1194292

Funding Status
Status not available

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Funded Activity Summary

Mental disorders are typically diagnosed using a set of strictly agreed diagnostic criteria. For example, in the DSM-5 a major depression diagnosis requires at least five of nine symptom criteria to be met. However, the DSM-5 is now widely agreed to have important limitations for the work of researchers and clinicians. My research will overcome those limitations by completing a data-driven classification system based on the patterns in the ways people experience symptoms of mental illness.

Funded Activity Details

Start Date: 01-01-2020

End Date: End date not available

Funding Scheme: Investigator Grants

Funding Amount: $645,205.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

classification | diagnosis | psychometrics | psychopathology

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