Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing

Michael F. Roizen

doi:10.1016/j.yane.2012.02.007

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JOURNAL ARTICLE

Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing

Michael F. Roizen

Year: 2012 Journal: Yearbook of Anesthesiology and Pain Management Vol: 2012 Pages: 420-421 Publisher: Elsevier BV

DOI: 10.1016/j.yane.2012.02.007

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Keywords:

Identification (biology) Electronic medical record Natural language processing Computer science Medical record Medicine Medical emergency Artificial intelligence Surgery Biology

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4.64

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0.94

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Topics

Electronic Health Records Systems

Health Sciences → Health Professions → Health Information Management

Biomedical Text Mining and Ontologies

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Clinical practice guidelines implementation

Health Sciences → Medicine → Public Health, Environmental and Occupational Health

Automated Identification of Postoperative Complications Within an Electronic Medical Record Using Natural Language Processing

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Citation History

Topics

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