Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation

Majid Afshar; Andrew Phillips; Niranjan Karnik; Jeanne Mueller; Daniel To; Richard Gonzalez; Ron Price; Richard Cooper; Cara Joyce; Dmitriy Dligach

doi:10.1093/jamia/ocy166

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation

Majid Afshar
, Andrew Phillips
, Niranjan Karnik
, Jeanne Mueller
, Daniel To
, Richard Gonzalez
, Ron Price
, Richard Cooper
, Cara Joyce
, Dmitriy Dligach

Stritch School of Medicine
Loyola University of Chicago
Rush University Medical Center
Loyola University Medical Center

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	254-261
Number of pages	8
Journal	Journal of the American Medical Informatics Association
Volume	26
Issue number	3
DOIs	https://doi.org/10.1093/jamia/ocy166
State	Published - Mar 1 2019

ASJC Scopus Subject Areas

Health Informatics

Keywords

Alcohol misuse
Artificial intelligence
CTAKES
Machine learning
Natural language processing
Phenotyping
Trauma

Access to Document

10.1093/jamia/ocy166

Cite this

Afshar, M., Phillips, A., Karnik, N., Mueller, J., To, D., Gonzalez, R., Price, R., Cooper, R., Joyce, C., & Dligach, D. (2019). Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. Journal of the American Medical Informatics Association, 26(3), 254-261. https://doi.org/10.1093/jamia/ocy166

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. / Afshar, Majid; Phillips, Andrew; Karnik, Niranjan et al.
In: Journal of the American Medical Informatics Association, Vol. 26, No. 3, 01.03.2019, p. 254-261.

Research output: Contribution to journal › Article › peer-review

Afshar, M, Phillips, A, Karnik, N, Mueller, J, To, D, Gonzalez, R, Price, R, Cooper, R, Joyce, C & Dligach, D 2019, 'Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation', Journal of the American Medical Informatics Association, vol. 26, no. 3, pp. 254-261. https://doi.org/10.1093/jamia/ocy166

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AU - Price, Ron

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Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation

ASJC Scopus Subject Areas

Keywords

Access to Document

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