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

Artificial Intelligence (2129) Diabetes Self-Management (588) Machine Learning (2076) Clinical Information and Decision Making (1915)

Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37233, first published .
Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation

Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation

Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation

Authors of this article:

Luis Fernando Granda Morales1 Author Orcid Image ;   Priscila Valdiviezo-Diaz1 Author Orcid Image ;   Ruth Reátegui1 Author Orcid Image ;   Luis Barba-Guaman1 Author Orcid Image
Article Authors Cited by (38) Tweetations (4) Metrics

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  12. Anbazhagan E, Sophiya E, Prasanna Kumar R. Sentiment-aware drug recommendations with a focus on symptom-condition mapping. International Journal of Information Technology 2024;16(8):5195 View
  13. Harikumar S, Jayamohan Pillai C, Vani Chithra V, Raman R, Kaimal M, Tang K, Nedungadi P. High-Dimensional Projected Clustering for Learner Competency Analysis in Medical Training Programs. IEEE Access 2024;12:171807 View
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  16. Ogunjobi T, Adeyanju S, Akinwande K, Obasi D, Aigbagenode A, Musa A, Abdul S. Improving the prevention and treatment of Lean Type 2 Diabetes in Sub-Saharan Africa: A review. European Journal of Sustainable Development Research 2025;9(2):em0287 View
  17. Costandache M. Machine Learning and Sound Processing in Vocal Disease Detection. Computer Science Journal of Moldova 2024;32(2(95)):224 View
  18. Qian M, Zhao M, Pan M, Pan Y, Wu D, Olson D, Ding W. A doctor recommendation model based on multidimensional feature extraction of doctors and patients from online medical platform. Information Sciences 2025;720:122500 View
  19. Afanasieva T, Zamashkin I. Patient-oriented systems for digital prevention of chronic non-communicable diseases. HEALTH CARE OF THE RUSSIAN FEDERATION 2025;69(3):289 View
  20. Abdelbaky I, Ahmed M, Taha M. Machine learning classification approaches for prediction of effective diabetes drugs. Egyptian Informatics Journal 2025;31:100786 View
  21. Muneer V, Thandil R. A personalized travel recommender system for Malayalam using social media travelogues. Cluster Computing 2026;29(1) View

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