Estimating consumer familiarity with health terminology: a context-based approach.
about
Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster featuresUser evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retentionA semantic and syntactic text simplification tool for health content.No change in physician dictation patterns when visit notes are made available online for patientsPortable automatic text classification for adverse drug reaction detection via multi-corpus training.Effects of individual health topic familiarity on activity patterns during health information searches.Pharmacovigilance on twitter? Mining tweets for adverse drug reactionsOvercoming consumer inertia to dietary guidance.
P2860
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P2860
Estimating consumer familiarity with health terminology: a context-based approach.
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
Estimating consumer familiarity with health terminology: a context-based approach.
@ast
Estimating consumer familiarity with health terminology: a context-based approach.
@en
type
label
Estimating consumer familiarity with health terminology: a context-based approach.
@ast
Estimating consumer familiarity with health terminology: a context-based approach.
@en
prefLabel
Estimating consumer familiarity with health terminology: a context-based approach.
@ast
Estimating consumer familiarity with health terminology: a context-based approach.
@en
P2093
P2860
P356
P1476
Estimating consumer familiarity with health terminology: a context-based approach
@en
P2093
Alla Keselman
Qing Zeng-Treitler
Sergey Goryachev
P2860
P304
P356
10.1197/JAMIA.M2592
P50
P577
2008-02-28T00:00:00Z