P. Ignacio Dorado-Díaz

Author

Centro de Investigación en Red en Enfermedades Cardiovasculares ORCID

Also Known As

Dorado-Díaz, P. Ignacio, P Ignacio Dorado-Diaz, P-Ignacio Dorado-Díaz, P. Ignacio Dorado Díaz, P. Ignacio Dorado-Diaz, P. Ignacio Dorado-Díaz, Pedro Ignacio Dorado-Díaz, Pedro-Ignacio Dorado-Díaz

Publications

412

Citations

H-Index

Concepts

All Affiliations

Centro de Investigación en Red en Enfermedades Cardiovasculares Instituto de Investigación Biomédica de Salamanca Universidad de Salamanca Philips (Spain)Instituto de Salud Carlos III

About

P. Ignacio Dorado-Díaz is an author at Centro de Investigación en Red en Enfermedades Cardiovasculares specializing in machine learning, medicine, and health informatics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	3	3	81
2	Public Health	3	3	81
3	Biostatistics	2	2	44
4	Engineering	1	1	26
5	Data Science	1	1	26

P. Ignacio Dorado-Díaz

Publications

230

Citations

H-Index

Page 1

	Year	Citations
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients Miguel Marcos, Moncef Belhassen‐García, Antonio Sánchez-Puente, PLoS ONE	2021	58
Machine Learning to Predict Stent Restenosis Based on Daily Demographic, Clinical, and Angiographic Characteristics Jesús Sampedro-Gómez, P. Ignacio Dorado-Díaz, Víctor Vicente-Palacios, Canadian Journal of Cardiology Machine LearningLumen-apposing Metal StentCoronary Artery DiseaseDaily DemographicVascular Surgery	2020	47
Application of Artificial Intelligence Algorithms Within the Medical Context for Non-Specialized Users: the CARTIER-IA Platform. Francisco José García‐Peñalvo, Andrea Vázquez‐Ingelmo, Alicia García‐Holgado, International Journal of Interactive Multimedia and Artificial Intelligence	2021	29
Machine Learning to Optimize the Echocardiographic Follow-Up of Aortic Stenosis Antonio Sánchez-Puente, P. Ignacio Dorado-Díaz, Jesús Sampedro-Gómez, JACC. Cardiovascular imaging EngineeringMachine LearningData ScienceData MiningPattern Recognition	2023	26
KoopaML: A Graphical Platform for Building Machine Learning Pipelines Adapted to Health Professionals. Francisco José García‐Peñalvo, Andrea Vázquez‐Ingelmo, Alicia García‐Holgado, International Journal of Interactive Multimedia and Artificial Intelligence	2023	21
Outcome Analysis in Elective Electrical Cardioversion of Atrial Fibrillation Patients: Development and Validation of a Machine Learning Prognostic Model Jean C. Núñez, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, Journal of Clinical Medicine Heart FailureMachine LearningPrognosisOutcome AnalysisRoc Curve	2022	18
Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients Miguel Marcos, Moncef Belhassen‐García, Antonio Sánchez-Puente, Machine LearningDisease ProgressionPrognosisDiagnosisDisease Score	2020	16
SALMANTICOR study. Rationale and design of a population-based study to identify structural heart disease abnormalities: a spatial and machine learning analysis Jose Ignacio Melero-Alegria, Manuel Cascón, Alfonso E. Romero, BMJ Open	2019	15

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