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

OBJECTIVES: 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. METHODS: We used the Least Absolute Shrinkage and Selection Operator (LASSO) for t...

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Detalles Bibliográficos
Autores principales: Kadra-Scalzo, Giouliana, Fonseca de Freitas, Daniela, Agbedjro, Deborah, Francis, Emma, Ridler, Isobel, Pritchard, Megan, Shetty, Hitesh, Segev, Aviv, Casetta, Cecilia, Smart, Sophie E., Morris, Anna, Downs, Johnny, Christensen, Søren Rahn, Bak, Nikolaj, Kinon, Bruce J., Stahl, Daniel, Hayes, Richard D., MacCabe, James H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484642/
https://www.ncbi.nlm.nih.gov/pubmed/36121864
http://dx.doi.org/10.1371/journal.pone.0274864

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9484642/
https://www.ncbi.nlm.nih.gov/pubmed/36121864
http://dx.doi.org/10.1371/journal.pone.0274864

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