Literature DB >> 18436906

Consumer health concepts that do not map to the UMLS: where do they fit?

Alla Keselman1, Catherine Arnott Smith, Guy Divita, Hyeoneui Kim, Allen C Browne, Gondy Leroy, Qing Zeng-Treitler.   

Abstract

OBJECTIVE: This study has two objectives: first, to identify and characterize consumer health terms not found in the Unified Medical Language System (UMLS) Metathesaurus (2007 AB); second, to describe the procedure for creating new concepts in the process of building a consumer health vocabulary. How do the unmapped consumer health concepts relate to the existing UMLS concepts? What is the place of these new concepts in professional medical discourse?
DESIGN: The consumer health terms were extracted from two large corpora derived in the process of Open Access Collaboratory Consumer Health Vocabulary (OAC CHV) building. Terms that could not be mapped to existing UMLS concepts via machine and manual methods prompted creation of new concepts, which were then ascribed semantic types, related to existing UMLS concepts, and coded according to specified criteria.
RESULTS: This approach identified 64 unmapped concepts, 17 of which were labeled as uniquely "lay" and not feasible for inclusion in professional health terminologies. The remaining terms constituted potential candidates for inclusion in professional vocabularies, or could be constructed by post-coordinating existing UMLS terms. The relationship between new and existing concepts differed depending on the corpora from which they were extracted.
CONCLUSION: Non-mapping concepts constitute a small proportion of consumer health terms, but a proportion that is likely to affect the process of consumer health vocabulary building. We have identified a novel approach for identifying such concepts.

Mesh:

Year:  2008        PMID: 18436906      PMCID: PMC2442253          DOI: 10.1197/jamia.M2599

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  17 in total

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2.  Patients' and physicians' understanding of health and biomedical concepts: relationship to the design of EMR systems.

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3.  Understanding the patient: medical words the doctor may not know.

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5.  Patient and clinician vocabulary: how different are they?

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Journal:  Stud Health Technol Inform       Date:  2001

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7.  Choice of words in doctor-patient communication: an analysis of health-related internet sites.

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8.  Lay understanding of terms used in cancer consultations.

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9.  Towards linking patients and clinical information: detecting UMLS concepts in e-mail.

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Journal:  J Biomed Inform       Date:  2003 Aug-Oct       Impact factor: 6.317

10.  Controlled vocabularies for consumer health.

Authors:  Rita D Zielstorff
Journal:  J Biomed Inform       Date:  2003 Aug-Oct       Impact factor: 6.317

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  22 in total

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Review 3.  Consumer language, patient language, and thesauri: a review of the literature.

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4.  Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach.

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5.  A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data.

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6.  Automated illustration of patients instructions.

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7.  Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.

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Journal:  J Biomed Inform       Date:  2017-03-04       Impact factor: 6.317

8.  User evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retention.

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Review 10.  Review of extracting information from the Social Web for health personalization.

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