Ensembles of Natural Language Processing Systems for Portable Phenotyping Solutions

BACKGROUND: Manually curating standardized phenotypic concepts such as Human Phenotype Ontology (HPO) terms from narrative text in electronic health records (EHRs) is time consuming and error prone. Natural language processing (NLP) techniques can facilitate automated phenotype extraction and thus i...

詳細記述

保存先:
書誌詳細
出版年:J Biomed Inform
主要な著者: Liu, Cong, Ta, Casey N., Rogers, James R., Li, Ziran, Lee, Junghwan, Butler, Alex M, Shang, Ning, Kury, Fabricio Sampaio Peres, Wang, Liwei, Shen, Feichen, Liu, Hongfang, Ena, Lyudmila, Friedman, Carol, Weng, Chunhua
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6899194/
https://ncbi.nlm.nih.gov/pubmed/31655273
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2019.103318
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

類似資料