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

Artificial Intelligence (1189) Diabetes Self-Management (463) Machine Learning (1373) Clinical Information and Decision Making (1315)

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 (20) Tweetations (4) Metrics

Luis Fernando Granda Morales   1 , MSc ;   Priscila Valdiviezo-Diaz   1 , PhD ;   Ruth Reátegui   1 , PhD ;   Luis Barba-Guaman   1 , PhD

1 Departamento de Ciencias de la Computación y Electrónica, Universidad Técnica Particular de Loja, Loja, Ecuador

Corresponding Author:

  • Priscila Valdiviezo-Diaz, PhD
  • Departamento de Ciencias de la Computación y Electrónica
  • Universidad Técnica Particular de Loja
  • San Cayetano Alto
  • Loja, 1101608
  • Ecuador
  • Phone: 593 7 3701444 ext 2325
  • Email: pmvaldiviezo@utpl.edu.ec