Beyond diagnostic classification: Characterising clinical phenotype and outcomes using real-world healthcare datasets
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If you have a question about this talk, please contact Oliver Knight.
In this talk I will describe how real-world datasets comprising insurance claims and electronic health record (EHR) data can be analysed to provide novel insights into the clinical outcomes of people with mental disorders and how the analysis of unstructured, free text clinical assessments using natural language processing (NLP) enables the ascertainment and analysis of rich clinical data that cannot be obtained from structured datasets.
This talk is part of the Department of Psychiatry & CPFT Thursday Lunchtime Seminar Series series.
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