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

Richard G JacksonRashmi PatelNishamali JayatillekeAnna KolliakouMichael BallGenevieve GorrellAngus RobertsRichard James Butler DobsonRobert Stewart
Published in: BMJ open (2017)
This work demonstrates the possibility of automatically extracting a broad range of SMI symptoms from English text discharge summaries for patients with an SMI diagnosis. Descriptive data also indicated that most symptoms cut across diagnoses, rather than being restricted to particular groups.
Keyphrases
  • mental illness
  • electronic health record
  • sleep quality
  • mental health
  • smoking cessation
  • big data
  • autism spectrum disorder
  • cross sectional
  • depressive symptoms
  • physical activity
  • machine learning
  • deep learning