Miguel Rujas

Orcid: 0009-0005-8198-3356

According to our database1, Miguel Rujas authored at least 11 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
When RAG Chatbots Expose Their Backend: An Anonymized Case Study of Privacy and Security Risks in Patient-Facing Medical AI.
CoRR, May, 2026

A Multimodal Deep Learning Architecture for Estimating Quality of Life for Advanced Cancer Patients Based on Wearable Devices and Patient-Reported Outcome Measures.
IEEE J. Biomed. Health Informatics, February, 2026

The Use of Machine Learning and Explainable Artificial Intelligence in Gut Microbiome Research: A Scoping Review.
IEEE J. Biomed. Health Informatics, January, 2026

A Secure and Interoperable Big Data Platform for AI-Driven Healthcare Solutions: Insights From the GATEKEEPER Project.
IEEE Access, 2026

2025
Synthetic data generation in healthcare: A scoping review of reviews on domains, motivations, and future applications.
Int. J. Medical Informatics, 2025

Methods and computational techniques for predicting adherence to treatment: A scoping review.
Comput. Biol. Medicine, 2025

Evaluating Usability, Acceptance, and Trust in the BEAMER Adherence Intelligence Visualization Platform: A Preliminary Study.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, 2025

Synthetic Data Generation for Physical Activity in Wearable Devices: A Multivariate Time Series Approach.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024
Understanding Adherence to Medication in Chronic Patients: A Comprehensive Approach for Optimization and Analysis of Structural Factors.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
Development of a Natural Language Processing-Based System for Characterizing Eating Disorders.
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Multi-stakeholder Approach for Designing an AI Model to Predict Treatment Adherence.
Proceedings of the Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, 2023


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