Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation.
Afshar, Majid
Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. [electronic resource] - Journal of the American Medical Informatics Association : JAMIA 03 2019 - 254-261 p. digital
Publication Type: Journal Article; Observational Study; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
1527-974X
10.1093/jamia/ocy166 doi
Adult
Alcoholism--complications
Cohort Studies
Electronic Health Records
Female
Humans
Machine Learning
Male
Middle Aged
Natural Language Processing
ROC Curve
Trauma Centers
Wounds and Injuries--complications
Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. [electronic resource] - Journal of the American Medical Informatics Association : JAMIA 03 2019 - 254-261 p. digital
Publication Type: Journal Article; Observational Study; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
1527-974X
10.1093/jamia/ocy166 doi
Adult
Alcoholism--complications
Cohort Studies
Electronic Health Records
Female
Humans
Machine Learning
Male
Middle Aged
Natural Language Processing
ROC Curve
Trauma Centers
Wounds and Injuries--complications