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Derivative curve estimation in longitudinal studies using P-splines
Hernández, M.A.
; Lee, D.J.; Rodríguez-Álvarez, M.X.; Durbán, M. (2023-09-18)
; Lee, D.J.; Rodríguez-Álvarez, M.X.; Durbán, M. (2023-09-18)
The estimation of curve derivatives is of interest in many disciplines. It allows the extraction of important characteristics to gain insight about the underlying process. In the context of longitudinal data, the derivative ...
Competing risk modelling for in-hospital length of stay
Espinosa-Moreno, J.; García, F.; Lee, D.J.; Legarreta, M.; García, S.; Mas, N. (2023-07)
; Lee, D.J.; Legarreta, M.; García, S.; Mas, N. (2023-07)
In this study, we propose a framework for analysing in-hospital patient data from electronic health records. We transform longitudinal sparse vital signs measurements into cross-sectional data via descriptive statistics, ...
Competing risk models in early warning systems for in-hospital deterioration: the role of missing data imputation
Espinosa-Moreno, J.; García, F.; Lee, D.J.; García, S.; Legarreta, M.; García, S.; Mas, N. (2023-06)
; Lee, D.J.; García, S.; Legarreta, M.; García, S.; Mas, N. (2023-06)
Early Warning Systems (EWS) are useful and very important tools for evaluating the health deteriorating of hospitalised patients, using vital signs (such as heart rate, temperature, etc.) as the main input, based on ...
Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia
Bronte Moreno, O.; García, F.; Lee, D.J.; Urrutia Landa, I.; Uranga Echeverria, A.; Nieves Ermecheo, M.; Martínez-Minaya, J.; Quintana, J.M.; Arostegui, I.; Zalacain Jorge, R.; Ruiz Iturriaga, L.A.; Serrano Fernández, L.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; España Yandiola, P.P. (2023-06)
; Lee, D.J.; Urrutia Landa, I.; Uranga Echeverria, A.; Nieves Ermecheo, M.; Martínez-Minaya, J.; Quintana, J.M.; Arostegui, I.; Zalacain Jorge, R.; Ruiz Iturriaga, L.A.; Serrano Fernández, L.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; España Yandiola, P.P. (2023-06)
The relationship between exposure to air pollution and the severity of coronavirus disease 2019 (COVID-19) pneumonia and other outcomes is poorly understood. Beyond age and comorbidity, risk factors for adverse outcomes ...
Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks
García, F.; Lee, D.J.; Mendoza-Garcés, F. J.; Irigoyen-Miró, S.; Legarreta-Olabarrieta, M. J.; García-Gutiérrez, S.; Arostegui, I. (2023-04)
; Lee, D.J.; Mendoza-Garcés, F. J.; Irigoyen-Miró, S.; Legarreta-Olabarrieta, M. J.; García-Gutiérrez, S.; Arostegui, I. (2023-04)
Background:A reliable anticipation of a difficult airway may notably enhance safety during anaesthesia. In current practice, clinicians use bedside screenings by manual measurements of patients’ morphology.
Objective:To ...
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
Hayet-Otero, M.; García, F.; Lee, D.J.; Martínez-Minaya, J.; España Yandiola, P.P.; Urrutia Landa, I.; Nieves Ermecheo, M.; Quintana, J.M.; Menéndez, R.; Torres, A.; Zalacain Jorge, R.; Arostegui, I. (2023)
; Lee, D.J.; Martínez-Minaya, J.; España Yandiola, P.P.; Urrutia Landa, I.; Nieves Ermecheo, M.; Quintana, J.M.; Menéndez, R.; Torres, A.; Zalacain Jorge, R.; Arostegui, I. (2023)
With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken to increase our understanding of the disease and the factors which determine diverse ...
Development of machine learning system for airway prediction from facial image with mobile device
Mendoza Garcés, F.; García, F.; García, S.; García, B.; Vargas, J.; Lee, D.J. (2022-06)
; García, S.; García, B.; Vargas, J.; Lee, D.J. (2022-06)
Goals: A reliable prognostic tool for a difficult airway (DA) may enhance patients’ safety during orotracheal intubation by decreasing
unanticipated DAs. We aim to examine the applicability of an Artificial Intelligence-Deep ...
Modeling latent spatio-temporal disease incidence using penalized composite link models
Lee, D.J.; Durban, M.; Ayma, D.; Van de Kassteele, J. (2022-03-10)
; Durban, M.; Ayma, D.; Van de Kassteele, J. (2022-03-10)
Epidemiological data are frequently recorded at coarse spatio-temporal resolutions to protect confidential information or to summarize it in a compact manner. However, the detailed patterns followed by the source data, ...
Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models
Zumeta, L.; Weigert, M.; Larruskain, J.; Bikandi, E.; Setuain, I.; Lekue, J.; Küchenhoff, H.; Lee, D.J. (2021-11-20)
; Weigert, M.; Larruskain, J.; Bikandi, E.; Setuain, I.; Lekue, J.; Küchenhoff, H.; Lee, D.J. (2021-11-20)
Data-based methods and statistical models are given special attention to the study of sports injuries to gain in-depth understanding of its risk factors and mechanisms. The objective of this work is to evaluate the use of ...
Impacto cuantitativo de la contaminación en la probabilidad de muerte por neumonía por SARS-CoV-2
Bronte Moreno, O.; Urrutia Landa, I.; Martínez-Minaya, J.; García, F.; Lee, D.J.; Jódar Samper, A.; García Hontoria, P.; Arostegui, I.; Artaraz Ereño, A.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Iturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
; García, F.; Lee, D.J.; Jódar Samper, A.; García Hontoria, P.; Arostegui, I.; Artaraz Ereño, A.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Iturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
Introducción
La evidencia científica disponible señala que la contaminación del aire exterior podría agravar la severidad de la COVID-19 y por ende, incrementar las probabilidades de fallecimiento.
Material y métodos
Estudio ...