( en | de | ru )

 

Disambiguation of "Moreno-Sanchez, Pedro A."

Author of the publication

copydeleteadd this publication to your clipboard
Features Importance to Improve Interpretability of Chronic Kidney Disease Early Diagnosis.

. IEEE BigData, page 3786-3792. IEEE, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Hernando Sánchez Moreno

Pedro Maria-Sanchez

Benno Pedrotti

David Sánchez Sánchez

Mario Pedroso

 

Other publications of authors with the same name

Chronic Kidney Disease Early Diagnosis Enhancing by Using Data Mining Classification and Features Selection.. HealthyIoT, volume 360 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 61-76. Springer, (2020)An automated feature selection and classification pipeline to improve explainability of clinical prediction models.. ICHI, page 527-534. IEEE, (2021)Consistency of XAI Models against Medical Expertise: An Assessment Protocol., , , , , and . ICHI, page 732-736. IEEE, (2024)Explainable NLP Model for Predicting Patient Admissions at Emergency Department Using Triage Notes., , , , and . IEEE Big Data, page 4843-4847. IEEE, (2023)An Explainable Classification Model for Chronic Kidney Disease Patients.. CoRR, (2021)Development of an Explainable Prediction Model of Heart Failure Survival by Using Ensemble Trees.. IEEE BigData, page 4902-4910. IEEE, (2020)Features Importance to Improve Interpretability of Chronic Kidney Disease Early Diagnosis.. IEEE BigData, page 3786-3792. IEEE, (2020)Enhancing Arrhythmia Diagnosis with Data-Driven Methods: A 12-Lead ECG-Based Explainable AI Model., and . NCDHWS (2), volume 2084 of Communications in Computer and Information Science, page 242-259. Springer, (2024)Assessing the relevance of mental health factors in fibromyalgia severity: A data-driven case study using explainable AI., , , , and . Int. J. Medical Informatics, (January 2024)