A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.

A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning. AMIA Annu Symp Proc. 2018; 2018:157-165.

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subject areas

Adult
Aged
Area Under Curve
Cohort Studies
Diagnosis, Computer-Assisted
Electronic Health Records
Female
Humans
Length of Stay
Male
Middle Aged
Natural Language Processing
Predictive Value of Tests
Radiography, Thoracic
Risk Factors
Supervised Machine Learning
Unified Medical Language System