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

Majid Afshar; Cara Joyce; Anthony Oakey; Perry Formanek; Philip Yang; Matthew M. Churpek; Richard S. Cooper; Susan Zelisko; Ron Price; Dmitriy Dligach

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

Majid Afshar, Cara Joyce, Anthony Oakey, Perry Formanek, Philip Yang, Matthew M. Churpek, Richard S. Cooper, Susan Zelisko, Ron Price, Dmitriy Dligach

Department of Computer Science

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

Original language	English
Pages (from-to)	157-165
Number of pages	9
Journal	AMIA ... Annual Symposium proceedings. AMIA Symposium
Volume	2018
State	Published - 2018

ASJC Scopus Subject Areas

General Medicine

Cite this

@article{8239841064304fac9c0c6bd669c9897c,

title = "A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning",

author = "Majid Afshar and Cara Joyce and Anthony Oakey and Perry Formanek and Philip Yang and Churpek, {Matthew M.} and Cooper, {Richard S.} and Susan Zelisko and Ron Price and Dmitriy Dligach",

year = "2018",

language = "English",

volume = "2018",

pages = "157--165",

journal = "AMIA ... Annual Symposium proceedings. AMIA Symposium",

issn = "1942-597X",

}

TY - JOUR

T1 - A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning

AU - Afshar, Majid

AU - Joyce, Cara

AU - Oakey, Anthony

AU - Formanek, Perry

AU - Yang, Philip

AU - Churpek, Matthew M.

AU - Cooper, Richard S.

AU - Zelisko, Susan

AU - Price, Ron

AU - Dligach, Dmitriy

PY - 2018

Y1 - 2018

UR - http://www.scopus.com/inward/record.url?scp=85062376493&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85062376493&partnerID=8YFLogxK

M3 - Article

C2 - 30815053

AN - SCOPUS:85062376493

SN - 1942-597X

VL - 2018

SP - 157

EP - 165

JO - AMIA ... Annual Symposium proceedings. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings. AMIA Symposium

ER -

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

ASJC Scopus Subject Areas

Other files and links

Cite this