A predictor model of treatment resistance in schizophrenia using data from electronic health records.
<h4>Objectives</h4>To develop a prognostic tool of treatment resistant schizophrenia (TRS) in a large and diverse clinical cohort, with comprehensive coverage of patients using mental health services in four London boroughs.<h4>Methods</h4>We used the Least Absolute Shrinkage...
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| Main Authors: | Giouliana Kadra-Scalzo, Daniela Fonseca de Freitas, Deborah Agbedjro, Emma Francis, Isobel Ridler, Megan Pritchard, Hitesh Shetty, Aviv Segev, Cecilia Casetta, Sophie E Smart, Anna Morris, Johnny Downs, Søren Rahn Christensen, Nikolaj Bak, Bruce J Kinon, Daniel Stahl, Richard D Hayes, James H MacCabe |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0274864&type=printable |
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