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

Methods and Instruments in Medical Informatics (109) Decision Support for Health Professionals (1153)

Published on in Vol 3, No 4 (2015): Oct-Dec

Technology for Large-Scale Translation of Clinical Practice Guidelines: A Pilot Study of the Performance of a Hybrid Human and Computer-Assisted Approach

Technology for Large-Scale Translation of Clinical Practice Guidelines: A Pilot Study of the Performance of a Hybrid Human and Computer-Assisted Approach

Technology for Large-Scale Translation of Clinical Practice Guidelines: A Pilot Study of the Performance of a Hybrid Human and Computer-Assisted Approach

Authors of this article:

Stijn Van de Velde1, 2 Author Orcid Image ;   Lieve Macken3 Author Orcid Image ;   Koen Vanneste4 Author Orcid Image ;   Martine Goossens1, 2, 5 Author Orcid Image ;   Jan Vanschoenbeek1 Author Orcid Image ;   Bert Aertgeerts1, 2, 5 Author Orcid Image ;   Klaar Vanopstal3 Author Orcid Image ;   Robert Vander Stichele1, 6 Author Orcid Image ;   Joost Buysschaert3 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics

Journals

  1. Wei Z. The Development Prospect of English Translation Software Based on Artificial Intelligence Technology. Journal of Physics: Conference Series 2020;1533(3):032081 View
  2. Rambaud C, Fauquert B, Charbonnel P, Falcoff H, Letrilliart L. Evaluation of a guidelines website capitalizing on Finnish content and Belgium interface: A pilot study in French general practice. Health Informatics Journal 2021;27(2):146045822110247 View
  3. Yu P, Zhu Y, Wong K. Model and Verification of Medical English Machine Translation Based on Optimized Generalized Likelihood Ratio Algorithm. Journal of Sensors 2021;2021(1) View
  4. Phonyiam R, Kamkhoad D, Palmquist A, Amugsi D. Cross-cultural adaptation and content validation of the Infant Feeding Intentions Scale for Thai pregnant women. PLOS Global Public Health 2023;3(3):e0000729 View

Books/Policy Documents

  1. Seligman M. Translation Technology in Accessible Health Communication. View