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Symptom-based patient stratification in mental illness using clinical notes.

Publication ,  Journal Article
Liu, Q; Woo, M; Zou, X; Champaneria, A; Lau, C; Mubbashar, MI; Schwarz, C; Gagliardi, JP; Tenenbaum, JD
Published in: J Biomed Inform
October 2019

Mental illnesses are highly heterogeneous with diagnoses based on symptoms that are generally qualitative, subjective, and documented in free text clinical notes rather than as structured data. Moreover, there exists significant variation in symptoms within diagnostic categories as well as substantial overlap in symptoms between diagnostic categories. These factors pose extra challenges for phenotyping patients with mental illness, a task that has proven challenging even for seemingly well characterized diseases. The ability to identify more homogeneous patient groups could both increase our ability to apply a precision medicine approach to psychiatric disorders and enable elucidation of underlying biological mechanism of pathology. We describe a novel approach to deep phenotyping in mental illness in which contextual term extraction is used to identify constellations of symptoms in a cohort of patients diagnosed with schizophrenia and related disorders. We applied topic modeling and dimensionality reduction to identify similar groups of patients and evaluate the resulting clusters through visualization and interrogation of clinically interpretable weighted features. Our findings show that patients diagnosed with schizophrenia may be meaningfully stratified using symptom-based clustering.

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Published In

J Biomed Inform

DOI

EISSN

1532-0480

Publication Date

October 2019

Volume

98

Start / End Page

103274

Location

United States

Related Subject Headings

  • Symptom Assessment
  • Stochastic Processes
  • Schizophrenia
  • Precision Medicine
  • Phenotype
  • Natural Language Processing
  • Middle Aged
  • Mental Disorders
  • Medical Informatics
  • Medical Informatics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Liu, Q., Woo, M., Zou, X., Champaneria, A., Lau, C., Mubbashar, M. I., … Tenenbaum, J. D. (2019). Symptom-based patient stratification in mental illness using clinical notes. J Biomed Inform, 98, 103274. https://doi.org/10.1016/j.jbi.2019.103274
Liu, Qi, Myung Woo, Xue Zou, Avee Champaneria, Cecilia Lau, Mohammad Imtiaz Mubbashar, Charlotte Schwarz, Jane P. Gagliardi, and Jessica D. Tenenbaum. “Symptom-based patient stratification in mental illness using clinical notes.J Biomed Inform 98 (October 2019): 103274. https://doi.org/10.1016/j.jbi.2019.103274.
Liu Q, Woo M, Zou X, Champaneria A, Lau C, Mubbashar MI, et al. Symptom-based patient stratification in mental illness using clinical notes. J Biomed Inform. 2019 Oct;98:103274.
Liu, Qi, et al. “Symptom-based patient stratification in mental illness using clinical notes.J Biomed Inform, vol. 98, Oct. 2019, p. 103274. Pubmed, doi:10.1016/j.jbi.2019.103274.
Liu Q, Woo M, Zou X, Champaneria A, Lau C, Mubbashar MI, Schwarz C, Gagliardi JP, Tenenbaum JD. Symptom-based patient stratification in mental illness using clinical notes. J Biomed Inform. 2019 Oct;98:103274.
Journal cover image

Published In

J Biomed Inform

DOI

EISSN

1532-0480

Publication Date

October 2019

Volume

98

Start / End Page

103274

Location

United States

Related Subject Headings

  • Symptom Assessment
  • Stochastic Processes
  • Schizophrenia
  • Precision Medicine
  • Phenotype
  • Natural Language Processing
  • Middle Aged
  • Mental Disorders
  • Medical Informatics
  • Medical Informatics