This study examined the clinical utility of the recently released National Institute of Mental Health's (NIMH) research domain criteria (RDoC) by replicating and extending earlier work by using a demographically novel sample. Information retrieval and natural language processing of archival clinical records was used to achieve two main objectives: (1) estimate how well the RDoC domains match language used by clinicians by creating domain scores and (2) examine the differences between the DSM's and RDoC's ability to predict treatment outcome using these domain scores and DSM diagnoses. The social systems RDoC category was found to be the strongest predictor of treatment outcome across all diagnostic measures.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1157643 |
| Date | 05 1900 |
| Creators | Love, Patrick K. |
| Contributors | Callahan, Jennifer L., Watkins, Clifton E., Cox, Randall J. |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | iv, 47 pages, Text |
| Rights | Public, Love, Patrick K, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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