Application of Natural Language Processing to VA Electronic Health Records to Identify Phenotypic Characteristics for Clinical and Research Purposes
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Extracting information from the text of electronic medical records to improve case detection: a systematic reviewDeveloping a manually annotated clinical document corpus to identify phenotypic information for inflammatory bowel disease.Automated identification of patients with pulmonary nodules in an integrated health system using administrative health plan data, radiology reports, and natural language processingUsing text mining techniques to extract phenotypic information from the PhenoCHF corpusComparing ICD9-encoded diagnoses and NLP-processed discharge summaries for clinical trials pre-screening: a case study.Phenome based analysis as a means for discovering context dependent clinical reference ranges.
P2860
Application of Natural Language Processing to VA Electronic Health Records to Identify Phenotypic Characteristics for Clinical and Research Purposes
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Application of Natural Languag ...... Clinical and Research Purposes
@en
type
label
Application of Natural Languag ...... Clinical and Research Purposes
@en
prefLabel
Application of Natural Languag ...... Clinical and Research Purposes
@en
P2093
P2860
P1476
Application of Natural Languag ...... Clinical and Research Purposes
@en
P2093
Adi V Gundlapalli
Anita Y Kinney
Brett R South
Matthew H Samore
Shobha Phansalkar
Shuying Shen
Sylvain Delisle
P2860
P50
P577
2008-03-01T00:00:00Z