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Datasets (1)

South London and Maudsley NHS Foundation Trust (SLaM) Clinical Record Interactive Search (CRIS) platform

Dataset population size: Unknown

Health and disease

Collections (0)

Analysis Scripts & Software (122)

Christopher During

Created - 09 June 2025

Christopher During

Created - 09 June 2025

Christopher During

Created - 09 June 2025

Christopher During

Created - 09 June 2025

Christopher During

Created - 09 June 2025

Circumstantiality

Christopher During

Created - 09 June 2025

Data Uses (0)

Publications (31)

An evaluation of symptom domains in the 2 years before pregnancy as predictors of relapse in the perinatal period in women with severe mental illness.

Khapre S, Stewart R, Taylor C.

Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.

Jackson RG, Patel R, Jayatilleke N, Kolliakou A, Ball M, Gorrell G, Roberts A, Dobson RJ, Stewart R.

Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method.

Patel R, Jayatilleke N, Broadbent M, Chang CK, Foskett N, Gorrell G, Hayes RD, Jackson R, Johnston C, Shetty H, Roberts A, McGuire P, Stewart R.

Associations of presenting symptoms and subsequent adverse clinical outcomes in people with unipolar depression: a prospective natural language processing (NLP), transdiagnostic, network analysis of electronic health record (EHR) data.

Patel R, Irving J, Brinn A, Taylor M, Shetty H, Pritchard M, Stewart R, Fusar-Poli P, McGuire P.

Cognitive Impairments in Schizophrenia: A Study in a Large Clinical Sample Using Natural Language Processing.

Mascio A, Stewart R, Botelle R, Williams M, Mirza L, Patel R, Pollak T, Dobson R, Roberts A.

Catatonia: demographic, clinical and laboratory associations.

Rogers JP, Pollak TA, Begum N, Griffin A, Carter B, Pritchard M, Broadbent M, Kolliakou A, Ke J, Stewart R, Patel R, Bomford A, Amad A, Zandi MS, Lewis G, Nicholson TR, David AS.