about
Automatic extraction of drug indications from FDA drug labelsToward a comprehensive drug ontology: extraction of drug-indication relations from diverse information sourcesIncreasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.An end-to-end hybrid algorithm for automated medication discrepancy detection.Exploring Spanish health social media for detecting drug effects.Automatic Classification of Structured Product Labels for Pregnancy Risk Drug Categories, a Machine Learning Approach.From text tagging to decision support.
P2860
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P2860
description
2013 nî lūn-bûn
@nan
2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Mining FDA drug labels for medical conditions
@ast
Mining FDA drug labels for medical conditions
@en
Mining FDA drug labels for medical conditions
@nl
type
label
Mining FDA drug labels for medical conditions
@ast
Mining FDA drug labels for medical conditions
@en
Mining FDA drug labels for medical conditions
@nl
prefLabel
Mining FDA drug labels for medical conditions
@ast
Mining FDA drug labels for medical conditions
@en
Mining FDA drug labels for medical conditions
@nl
P2093
P2860
P50
P356
P1476
Mining FDA drug labels for medical conditions
@en
P2093
Imre Solti
Kevin Bretonnel Cohen
Laura Stoutenborough
Megan Kaiser
Todd Lingren
P2860
P2888
P356
10.1186/1472-6947-13-53
P577
2013-04-24T00:00:00Z
P5875
P6179
1024865159