Pedro Ignacio
Dorado Díaz
Investigador en el període 2020-2022
Jesús Manuel
Sampedro Gómez
Publicacions en què col·labora amb Jesús Manuel Sampedro Gómez (13)
2023
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Machine Learning to Optimize the Echocardiographic Follow-Up of Aortic Stenosis
JACC: Cardiovascular Imaging, Vol. 16, Núm. 6, pp. 733-744
2022
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Date of admission during covid-19 pandemic impacted patient outcomes in addition to the higher efficacy of tocilizumab plus high-dose corticosteroid therapy compared to tocilizumab alone
Journal of Clinical Medicine, Vol. 11, Núm. 1
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KoopaML, a Machine Learning platform for medical data analysis
Journal on Interactive Systems, Vol. 13, Núm. 1, pp. 154-165
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Outcome Analysis in Elective Electrical Cardioversion of Atrial Fibrillation Patients: Development and Validation of a Machine Learning Prognostic Model
Journal of Clinical Medicine, Vol. 11, Núm. 9
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Predictive Power for Thrombus Detection after Atrial Appendage Closure: Machine Learning vs. Classical Methods
Journal of Personalized Medicine, Vol. 12, Núm. 9
2021
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A platform to support the visual analysis of the SALMANTICOR study outcomes: Conveying cardiological data to lay users
ACM International Conference Proceeding Series
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Automatic Classification of Valve Diseases Through Natural Language Processing in Spanish and Active Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Bringing machine learning closer to non-experts: Proposal of a user-friendly machine learning tool in the healthcare domain
ACM International Conference Proceeding Series
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Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients
PLoS ONE, Vol. 16, Núm. 4 April
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Usability Study of CARTIER-IA: A Platform for Medical Data and Imaging Management
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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User-Centered Design Approach for a Machine Learning Platform for Medical Purpose
Communications in Computer and Information Science
2020
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A platform for management and visualization of medical data and medical imaging
ACM International Conference Proceeding Series
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Machine Learning to Predict Stent Restenosis Based on Daily Demographic, Clinical, and Angiographic Characteristics
Canadian Journal of Cardiology, Vol. 36, Núm. 10, pp. 1624-1632