This paper is in the following e-collection/theme issue:

Consumer & Patient Education and Shared-Decision Making (679) Participatory Medicine & E-Patients (773) Natural Language Processing (692)

Published on in Vol 20, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10779, first published .
Improving Consumer Understanding of Medical Text: Development and Validation of a New SubSimplify Algorithm to Automatically Generate Term Explanations in English and Spanish

Improving Consumer Understanding of Medical Text: Development and Validation of a New SubSimplify Algorithm to Automatically Generate Term Explanations in English and Spanish

Improving Consumer Understanding of Medical Text: Development and Validation of a New SubSimplify Algorithm to Automatically Generate Term Explanations in English and Spanish

Authors of this article:

Nicholas Kloehn1 Author Orcid Image ;   Gondy Leroy1 Author Orcid Image ;   David Kauchak2 Author Orcid Image ;   Yang Gu1 Author Orcid Image ;   Sonia Colina3 Author Orcid Image ;   Nicole P Yuan4 Author Orcid Image ;   Debra Revere5 Author Orcid Image
Article Authors Cited by (11) Tweetations (13) Metrics

Journals

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  5. Ondov B, Attal K, Demner-Fushman D. A survey of automated methods for biomedical text simplification. Journal of the American Medical Informatics Association 2022;29(11):1976 View
  6. Murthy D, Lee J, Dashtian H, Kong G. Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification. JMIR Infodemiology 2023;3:e42218 View

Books/Policy Documents

  1. Alfano M, Lenzitti B, Taibi D, Helfert M. Information and Communication Technologies for Ageing Well and e-Health. View
  2. Alfano M, Lenzitti B, Taibi D, Helfert M. Information and Communication Technologies for Ageing Well and e-Health. View
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  4. Kokkinakis D. A Multidisciplinary Approach to Capability in Age and Ageing. View