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

Acute Respiratory Distress Syndrome (ARDS) is a syndrome of respiratory failure that may be identified using text from radiology reports. The objective of this study was to determine whether natural language processing (NLP) with machine learning performs better than a traditional keyword model for...

詳細記述

保存先:
書誌詳細
出版年:AMIA Annu Symp Proc
主要な著者: Afshar, Majid, Joyce, Cara, Oakey, Anthony, Formanek, Perry, Yang, Philip, Churpek, Matthew M., Cooper, Richard S., Zelisko, Susan, Price, Ron, Dligach, Dmitriy
フォーマット: Artigo
言語:Inglês
出版事項: American Medical Informatics Association 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6371271/
https://ncbi.nlm.nih.gov/pubmed/30815053
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