Improving perceived and actual text difficulty for health information consumers using semi-automated methods
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Expansion of medical vocabularies using distributional semantics on Japanese patient blogsSynonym extraction and abbreviation expansion with ensembles of semantic spacesUser evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retentionSimConcept: a hybrid approach for simplifying composite named entities in biomedical textDoes query expansion limit our learning? A comparison of social-based expansion to content-based expansion for medical queries on the internet.Measuring Text Difficulty Using Parse-Tree Frequency.Health IT Usability Focus Section: Adapting EHR-Based Medication Instructions to Comply with Plain Language Guidance-A Randomized Experiment.The Effect of Orthopedic Advertising and Self-Promotion on a Naïve Population.The Role of Surface, Semantic and Grammatical Features on Simplification of Spanish Medical Texts: A User Study.
P2860
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P2860
Improving perceived and actual text difficulty for health information consumers using semi-automated methods
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Improving perceived and actual ...... s using semi-automated methods
@ast
Improving perceived and actual ...... s using semi-automated methods
@en
type
label
Improving perceived and actual ...... s using semi-automated methods
@ast
Improving perceived and actual ...... s using semi-automated methods
@en
prefLabel
Improving perceived and actual ...... s using semi-automated methods
@ast
Improving perceived and actual ...... s using semi-automated methods
@en
P2093
P2860
P1476
Improving perceived and actual ...... s using semi-automated methods
@en
P2093
David Kauchak
Gondy Leroy
James E Endicott
Melissa L Just
Obay Mouradi
P2860
P304
P577
2012-11-03T00:00:00Z