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

Clinical Information and Decision Making (1915) Decision Support for Health Professionals (1539) Natural Language Processing (917) Machine Learning (2076) Diabetes (259) Ontologies, Classifications, and Coding (324) Information Retrieval (348)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27434, first published .
Improving Diabetes-Related Biomedical Literature Exploration in the Clinical Decision-making Process via Interactive Classification and Topic Discovery: Methodology Development Study

Improving Diabetes-Related Biomedical Literature Exploration in the Clinical Decision-making Process via Interactive Classification and Topic Discovery: Methodology Development Study

Improving Diabetes-Related Biomedical Literature Exploration in the Clinical Decision-making Process via Interactive Classification and Topic Discovery: Methodology Development Study

Authors of this article:

Adrian Ahne1, 2 Author Orcid Image ;   Guy Fagherazzi3 Author Orcid Image ;   Xavier Tannier4 Author Orcid Image ;   Thomas Czernichow2 Author Orcid Image ;   Francisco Orchard2 Author Orcid Image
Article Authors Cited by (7) Tweetations (16) Metrics

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  2. Huang G, Li Y, Jameel S, Long Y, Papanastasiou G. From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?. Computational and Structural Biotechnology Journal 2024;24:362 View
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  4. Tzimiris S, Nikiforos S, Nikiforos M, Mouratidis D, Kermanidis K. Topic Classification of Interviews on Emergency Remote Teaching. Information 2025;16(4):253 View
  5. Kermanidis K, Tzimiris S, Nikiforos S, Nikiforos M, Mouratidis D. ICT Adoption in Education: Unveiling Emergency Remote Teaching Challenges for Students with Functional Diversity Through Topic Identification in Modern Greek Data. Applied Sciences 2025;15(9):4667 View

Conference Proceedings

  1. Zhu P, Lang Q, Liu X. 2023 35th Chinese Control and Decision Conference (CCDC). Word Embedding of Dimensionality Reduction for Document Clustering View
  2. Sreenivasgoud P, Sharma M, Kumar B, Nijhawan G, Al-Jawahry H, Udhayakumar R. 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI). Natural Language Processing in Electronic Health Record Mining for Clinical Decision Support View