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

Consumer & Patient Education and Shared-Decision Making (641) Participatory Medicine & E-Patients (758) Natural Language Processing (650)

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 (14) Metrics

Journals

  1. Wang J, Deng H, Liu B, Hu A, Liang J, Fan L, Zheng X, Wang T, Lei J. Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed. Journal of Medical Internet Research 2020;22(1):e16816 View
  2. Omoregbe N, Ndaman I, Misra S, Abayomi-Alli O, Damaševičius R, Dogra A. Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic. Journal of Healthcare Engineering 2020;2020:1 View
  3. van Mens H, Martens S, Paiman E, Mertens A, Nienhuis R, de Keizer N, Cornet R. Diagnosis clarification by generalization to patient-friendly terms and definitions: Validation study. Journal of Biomedical Informatics 2022;129:104071 View
  4. Ayre J, Bonner C, Muscat D, Dunn A, Harrison E, Dalmazzo J, Mouwad D, Aslani P, Shepherd H, McCaffery K. Multiple Automated Health Literacy Assessments of Written Health Information: Development of the SHeLL (Sydney Health Literacy Lab) Health Literacy Editor v1. JMIR Formative Research 2023;7:e40645 View
  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
  3. Alfano M, Kellett J, Lenzitti B, Helfert M. Artificial Intelligence and Cognitive Science. View
  4. Kokkinakis D. A Multidisciplinary Approach to Capability in Age and Ageing. View