Publicaciones en las que colabora con Pedro Ignacio Dorado Díaz (23)
2024
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Assessing the Effectiveness of Textual Recommendations in KoopaML: A Comparative Study on Non-Expert Users' ML Pipeline Development
International Journal on Semantic Web and Information Systems, Vol. 20, Núm. 1
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D-AI-COM: A DICOM Reception Node to Automate the Application of Artificial Intelligence Scripts to Medical Imaging Data
Lecture Notes in Networks and Systems
2023
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Are Textual Recommendations Enough? Guiding Physicians Toward the Design of Machine Learning Pipelines Through a Visual Platform
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Editorial commentary: CardioVerse: Buying the stairway to heaven
Trends in Cardiovascular Medicine
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Flexible Heuristics for Supporting Recommendations Within an AI Platform Aimed at Non-expert Users
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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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
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Refactoring User Interfaces Through a Data-Driven Framework: a Case Study in the Health Domain
Proceedings - 2023 49th Latin American Computing Conference, CLEI 2023
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Testing and Improvements of KoopaML: A Platform to Ease the Development of Machine Learning Pipelines in the Medical Domain
Lecture Notes in Educational Technology (Springer Science and Business Media Deutschland GmbH), pp. 210-217
2022
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CardioVerse: Buying the stairway to heaven
Trends in Cardiovascular Medicine
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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