Features Importance to Improve Interpretability of Chronic Kidney Disease Early Diagnosis. - Pedro A. Moreno-Sánchez (IEEE BigData, 2020)

Development of an Explainable Prediction Model of Heart Failure Survival by Using Ensemble Trees. - Pedro A. Moreno-Sánchez (IEEE BigData, 2020)

Chronic Kidney Disease Early Diagnosis Enhancing by Using Data Mining Classification and Features Selection. - Pedro A. Moreno-Sánchez (HealthyIoT, 2020)

An automated feature selection and classification pipeline to improve explainability of clinical prediction models. - Pedro A. Moreno-Sánchez (ICHI, 2021)

An Explainable Classification Model for Chronic Kidney Disease Patients. - Pedro A. Moreno-Sánchez (CoRR, 2021)

Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence. - Pedro A. Moreno-Sánchez (CoRR, 2021)

Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes. - Émilien Arnaud; Mahmoud Elbattah; Pedro A. Moreno-Sánchez; Gilles Dequen; Daniel Aiham Ghazali (IEEE Big Data, 2023)

Data-Driven Early Diagnosis of Chronic Kidney Disease: Development and Evaluation of an Explainable AI Model. - Pedro A. Moreno-Sánchez (IEEE Access, 2023)

Consistency of XAI Models against Medical Expertise: An Assessment Protocol. - Émilien Arnaud; Mahmoud Elbattah; Amandine Pitteman; Gilles Dequen; Daniel Aiham Ghazali; Pedro A. Moreno-Sánchez (ICHI, 2024)

Enhancing Arrhythmia Diagnosis with Data-Driven Methods: A 12-Lead ECG-Based Explainable AI Model. - Emmanuel C. Chukwu; Pedro A. Moreno-Sánchez (NCDHWS (2), 2024)

ECG-based data-driven solutions for diagnosis and prognosis of cardiovascular diseases: A systematic review. - Pedro A. Moreno-Sánchez; Guadalupe García-Isla; Valentina D. A. Corino; Antti Vehkaoja; Kirsten Brukamp; Mark J. van Gils; Luca T. Mainardi (Comput. Biol. Medicine, 2024)

Assessing the relevance of mental health factors in fibromyalgia severity: A data-driven case study using explainable AI. - Pedro A. Moreno-Sánchez; Ruben Arroyo-Fernández; Elisabeth Bravo-Esteban; Asunción Ferri-Morales; Mark J. van Gils (Int. J. Medical Informatics, 2024)

A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption. - Pedro A. Moreno-Sánchez; Javier Del Ser; Mark J. van Gils; Jussi Hernesniemi (CoRR, 2025)