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Carlos Sáez
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2020 – today
- 2024
- [j21]Pablo Ferri, Vincenzo Lomonaco, Lucia C. Passaro, Antonio Felix de Castro, Purificación Sánchez-Cuesta, Carlos Sáez, Juan M. García-Gómez:
Deep continual learning for medical call incidents text classification under the presence of dataset shifts. Comput. Biol. Medicine 175: 108548 (2024) - 2023
- [j20]Pablo Ferri Borreda, Nekane Romero-Garcia, Rafael Badenes, David Lora-Pablos, Teresa García Morales, Agustín Gómez De La Camara, Juan M. García-Gómez, Carlos Sáez:
Extremely missing numerical data in Electronic Health Records for machine learning can be managed through simple imputation methods considering informative missingness: A comparative of solutions in a COVID-19 mortality case study. Comput. Methods Programs Biomed. 242: 107803 (2023) - 2022
- [j19]Alba Gutiérrez-Sacristán, Carlos Sáez, Carlos De Niz, Niloofar Jalali, Thomas N. Desain, Ranjay Kumar, Joany M. Zachariasse, Kathe P. Fox, Nathan P. Palmer, Isaac S. Kohane, Paul Avillach:
Multi-PheWAS intersection approach to identify sex differences across comorbidities in 59 140 pediatric patients with autism spectrum disorder. J. Am. Medical Informatics Assoc. 29(2): 230-238 (2022) - [j18]Júlio Souza, Ismael Caballero, João Vasco Santos, Mariana Lobo, Andreia Pinto, João Viana, Carlos Sáez, Fernando Lopes, Alberto Freitas:
Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications. J. Biomed. Informatics 136: 104242 (2022) - [j17]Griffin M. Weber, Chuan Hong, Zongqi Xia, Nicolas Paris, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Martin Wolkewitz, Scott Wong, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco:
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 5 (2022) - [c10]Marta Durá, Angel Sánchez-García, Carlos Sáez, Fátima Leal, Adriana E. Chis, Horacio González-Vélez, Juan M. García-Gómez:
Towards a Computational Approach for the Assessment of Compliance of ALCOA+ Principles in Pharma Industry. MIE 2022: 755-759 - [c9]Pablo Ferri Borreda, Carlos Sáez, Antonio Felix de Castro, Purificación Sánchez-Cuesta, Juan M. García-Gómez:
Discovering Key Topics in Emergency Medical Dispatch from Free Text Dispatcher Observations. MIE 2022: 859-863 - 2021
- [j16]Pablo Ferri Borreda, Carlos Sáez, Antonio Felix de Castro, Javier Juan-Albarracín, Vicent Blanes-Selva, Purificación Sánchez-Cuesta, Juan M. García-Gómez:
Deep ensemble multitask classification of emergency medical call incidents combining multimodal data improves emergency medical dispatch. Artif. Intell. Medicine 117: 102088 (2021) - [j15]Fátima Leal, Adriana E. Chis, Simon Caton, Horacio González-Vélez, Juan M. García-Gómez, Marta Durá, Angel Sánchez-García, Carlos Sáez, Anthony Karageorgos, Vassilis C. Gerogiannis, Apostolos Xenakis, Efthymios N. Lallas, Theodoros Ntounas, Eleni Vasileiou, Georgios Mountzouris, Barbara Otti, Penelope Pucci, Rossano Papini, David Cerrai, Mariola Mier:
Smart Pharmaceutical Manufacturing: Ensuring End-to-End Traceability and Data Integrity in Medicine Production. Big Data Res. 24: 100172 (2021) - [j14]Ricardo García-de-León-Chocano, Carlos Sáez, Verónica Muñoz-Soler, Antonio Oliver-Roig, Ricardo García-de-León-González, Juan Miguel García-Gómez:
Robust estimation of infant feeding indicators by data quality assessment of longitudinal electronic health records from birth up to 18 months of life. Comput. Methods Programs Biomed. 207: 106147 (2021) - [j13]Carlos Sáez, Nekane Romero, J. Alberto Conejero, Juan M. García-Gómez:
Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset. J. Am. Medical Informatics Assoc. 28(2): 360-364 (2021) - [j12]Lucia A. Carrasco-Ribelles, Jose Ramón Pardo-Mas, Salvador Tortajada, Carlos Sáez, Bernardo Valdivieso, Juan M. García-Gómez:
Predicting morbidity by local similarities in multi-scale patient trajectories. J. Biomed. Informatics 120: 103837 (2021) - [c8]Júlio Souza, Ismael Caballero, João Vasco Santos, M. F. Lobo, Andreia Pinto, João Viana, Carlos Sáez, Alberto Freitas:
Measuring Variability in Acute Myocardial Infarction Coding Using a Statistical Process Control and Probabilistic Temporal Data Quality Control Approaches. WorldCIST (2) 2021: 193-202
2010 – 2019
- 2019
- [j11]Carlos Sáez, Siaw-Teng Liaw, Eizen Kimura, Pascal Coorevits, Juan M. García-Gómez:
Guest editorial: Special issue in biomedical data quality assessment methods. Comput. Methods Programs Biomed. 181 (2019) - 2018
- [j10]Carlos Sáez, Juan Miguel García-Gómez:
Kinematics of Big Biomedical Data to characterize temporal variability and seasonality of data repositories: Functional Data Analysis of data temporal evolution over non-parametric statistical manifolds. Int. J. Medical Informatics 119: 109-124 (2018) - [j9]Miguel Enrique Iglesias Martínez, Juan M. García-Gómez, Carlos Sáez, Pedro Fernández de Córdoba, J. Alberto Conejero:
Feature Extraction and Similarity of Movement Detection during Sleep, Based on Higher Order Spectra and Entropy of the Actigraphy Signal: Results of the Hispanic Community Health Study/Study of Latinos. Sensors 18(12): 4310 (2018) - 2017
- [c7]Pablo Ferri Borreda, Carlos Sáez, Juan Miguel García-Gómez:
Discovering Data Source Stability Patterns in Biomedical Repositories Based on Simplicial Projections from Probability Distribution Distances. CBMS 2017: 600-605 - 2016
- [j8]Ricardo García-de-León-Chocano, Verónica Muñoz-Soler, Carlos Sáez, Ricardo García-de-León-González, Juan Miguel García-Gómez:
Construction of quality-assured infant feeding process of care data repositories: Construction of the perinatal repository (Part 2). Comput. Biol. Medicine 71: 214-222 (2016) - [j7]Carlos Sáez, Oscar Zurriaga, Jordi Pérez-Panadés, Inma Melchor, Montserrat Robles, Juan Miguel García-Gómez:
Applying probabilistic temporal and multisite data quality control methods to a public health mortality registry in Spain: a systematic approach to quality control of repositories. J. Am. Medical Informatics Assoc. 23(6): 1085-1095 (2016) - 2015
- [j6]Ricardo Garcí, Carlos Sáez, Verónica Muñoz-Soler, Ricardo García-de-León-González, Juan M. García-Gómez:
Construction of quality-assured infant feeding process of care data repositories: definition and design (Part 1). Comput. Biol. Medicine 67: 95-103 (2015) - [j5]Carlos Sáez, Pedro Pereira Rodrigues, João Gama, Montserrat Robles, Juan Miguel García-Gómez:
Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality. Data Min. Knowl. Discov. 29(4): 950-975 (2015) - 2014
- [j4]Carlos Sáez, Luis Martí-Bonmatí, Angel Alberich-Bayarri, Montserrat Robles, Juan Miguel García-Gómez:
Randomized pilot study and qualitative evaluation of a clinical decision support system for brain tumour diagnosis based on SV 1H MRS: Evaluation as an additional information procedure for novice radiologists. Comput. Biol. Medicine 45: 26-33 (2014) - 2013
- [j3]Carlos Sáez, Adrián Bresó, Javier Vicente, Montserrat Robles, Juan Miguel García-Gómez:
An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems. Comput. Methods Programs Biomed. 109(3): 239-249 (2013) - [c6]Carlos Sáez, Montserrat Robles, Juan Miguel García-Gómez:
Comparative study of probability distribution distances to define a metric for the stability of multi-source biomedical research data. EMBC 2013: 3226-3229 - 2011
- [j2]Carlos Sáez, Juan Miguel García-Gómez, Javier Vicente, Salvador Tortajada, Jan Luts, David Dupplaw, Sabine Van Huffel, Montserrat Robles:
A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents. Knowl. Eng. Rev. 26(3): 283-301 (2011) - [j1]Bo Hu, Madalina Croitoru, Roman Roset, David Dupplaw, Miguel Lurgi, Srinandan Dasmahapatra, Paul H. Lewis, Juan Martínez-Miranda, Carlos Sáez:
The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours. Knowl. Eng. Rev. 26(3): 303-328 (2011)
2000 – 2009
- 2008
- [c5]Liang Xiao, Javier Vicente, Carlos Sáez, Andrew Peet, Alex Gibb, Paul H. Lewis, Srinandan Dasmahapatra, Madalina Croitoru, Horacio González-Vélez, Magí Lluch i Ariet, David Dupplaw:
A Security Model and its Application to a Distributed Decision Support System for Healthcare. ARES 2008: 578-585 - 2007
- [c4]Madalina Croitoru, Bo Hu, Srinandan Dasmahapatra, Paul H. Lewis, David Dupplaw, Alex Gibb, Margarida Julià-Sapé, Javier Vicente, Carlos Sáez, Juan Miguel García-Gómez, Roman Roset, Francesc Estanyol, Xavier Rafael Palou, Mariola Mier:
Conceptual Graphs Based Information Retrieval in HealthAgents. CBMS 2007: 618-623 - [c3]Liang Xiao, Andrew Peet, Paul H. Lewis, Srinandan Dashmapatra, Carlos Sáez, Madalina Croitoru, Javier Vicente, Horacio González-Vélez, Magí Lluch i Ariet:
An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment. COMPSAC (2) 2007: 261-268 - [c2]Juan Miguel García-Gómez, Salvador Tortajada, Javier Vicente, Carlos Sáez, Xavier Castells, Jan Luts, Margarida Julià-Sapé, Alfons Juan-Císcar, Sabine Van Huffel, Anna Barceló, Joaquín Ariño, Carles Arús, Montserrat Robles:
Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning. IWANN 2007: 1012-1019 - 2006
- [c1]Edmund Coersmeier, Carlos Sáez, Andreas Hotz, Marc Hoffmann, Martin Kosakowski, Yuhuan Xu, Andreas Bauer, Felix Leder:
Improving Channel Estimation for Software Radios. Wireless and Optical Communications 2006: 33-38
Coauthor Index
aka: Juan M. García-Gómez
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