Classification of clinically useful sentences in clinical evidence resources.
about
Classification of Clinically Useful Sentences in MEDLINE.Integrating unified medical language system and association mining techniques into relevance feedback for biomedical literature search.NegAIT: A new parser for medical text simplification using morphological, sentential and double negation.Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology Reports.Mining the literature for genes associated with placenta-mediated maternal diseases.The Role of Surface, Semantic and Grammatical Features on Simplification of Spanish Medical Texts: A User Study.
P2860
Classification of clinically useful sentences in clinical evidence resources.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Classification of clinically useful sentences in clinical evidence resources.
@ast
Classification of clinically useful sentences in clinical evidence resources.
@en
type
label
Classification of clinically useful sentences in clinical evidence resources.
@ast
Classification of clinically useful sentences in clinical evidence resources.
@en
prefLabel
Classification of clinically useful sentences in clinical evidence resources.
@ast
Classification of clinically useful sentences in clinical evidence resources.
@en
P2093
P2860
P1476
Classification of clinically useful sentences in clinical evidence resources
@en
P2093
Kalpana Raja
Marcelo Fiszman
Siddhartha R Jonnalagadda
P2860
P356
10.1016/J.JBI.2016.01.003
P577
2016-01-13T00:00:00Z