A predictor model of treatment resistance in schizophrenia using data from electronic health records

A predictor model of treatment resistance in schizophrenia using data from electronic health records

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<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 Shrink...

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Bibliographic Details
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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484642/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484642/?tool=EBI

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