Consumer health concepts that do not map to the UMLS: where do they fit?
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Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert AnnotationsUser evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retentionReview of extracting information from the Social Web for health personalizationComputer-assisted update of a consumer health vocabulary through mining of social network dataEnriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach.Understanding Health Care Social Media Use From Different Stakeholder Perspectives: A Content Analysis of an Online Health Community.Consumer language, patient language, and thesauri: a review of the literature.Beyond readability: investigating coherence of clinical text for consumersEvaluating the process of online health information searching: a qualitative approach to exploring consumer perspectives.No change in physician dictation patterns when visit notes are made available online for patientsManaging the personal side of health: how patient expertise differs from the expertise of cliniciansAutomatically Detecting Failures in Natural Language Processing Tools for Online Community Text.Identifying medical terms in patient-authored text: a crowdsourcing-based approach.Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.The User Knows What to Call It: Incorporating Patient Voice Through User-Contributed Tags on a Participatory Platform About Health ManagementAutomated illustration of patients instructions.Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach.Reconciliation of patient/doctor vocabulary in a structured resource.Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation.Classifying health questions asked by the public using the ICPC-2 classification and a taxonomy of generic clinical questions: an empirical exploration of the feasibility.Discourse structure differences in lay and professional health communication
P2860
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P2860
Consumer health concepts that do not map to the UMLS: where do they fit?
description
2008 nî lūn-bûn
@nan
2008 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
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
name
Consumer health concepts that do not map to the UMLS: where do they fit?
@ast
Consumer health concepts that do not map to the UMLS: where do they fit?
@en
type
label
Consumer health concepts that do not map to the UMLS: where do they fit?
@ast
Consumer health concepts that do not map to the UMLS: where do they fit?
@en
prefLabel
Consumer health concepts that do not map to the UMLS: where do they fit?
@ast
Consumer health concepts that do not map to the UMLS: where do they fit?
@en
P2093
P2860
P356
P1476
Consumer health concepts that do not map to the UMLS: where do they fit?
@en
P2093
Alla Keselman
Allen C Browne
Catherine Arnott Smith
Gondy Leroy
Guy Divita
Hyeoneui Kim
Qing Zeng-Treitler
P2860
P304
P356
10.1197/JAMIA.M2599
P577
2008-04-24T00:00:00Z