• Spatio‑temporal modelling of high‑throughput phenotyping data 

  Pérez, D.M. (2023-10-13)

  High throughput phenotyping (HTP) platforms and devices are increasingly used to characterise growth and developmental processes for large sets of plant genotypes. This dissertation is motivated by the need to accurately ...

• Derivative curve estimation in longitudinal studies using P-splines 

  Hernández, M.A.; 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 ...

• A kernel-enriched order-dependent nonparametric spatio-temporal process 

  Das, M.; Bhattachrya, S. (2023)

  Spatio-temporal processes are necessary modeling tools for various environmental, biological, and geographical problems. The underlying model is commonly considered to be parametric and to be a Gaussian process. Additionally, ...

• Selecting the number of categories of the lymph node ratio in cancer research: A bootstrap-based hypothesis test 

  Barrio, I.; Roca-Pardiñas, J.; Arostegui, I. (2021)

  The high impact of the lymph node ratio as a prognostic factor is widely established in colorectal cancer, and is being used as a categorized predictor variable in several studies. However, the cut-off points as well as ...

• Clinical prediction rules for adverse evolution in patients with COVID-19 by the Omicron variant 

  Barrio, I.; España, P.P; Villanueva, A; Gascon, M; Larrea, N.; García-Gutiérrez, S.; Quintana, J.M.; Portuondo-Jimenez, J. (2023)

  Objective: We identify factors related to SARS-CoV-2 infection linked to hospitalization, ICU admission, and mortality and develop clinical prediction rules. Methods: Retrospective cohort study of 380,081 patients with ...

• Five-year follow-up mortality prognostic index for colorectal patients 

  Orive, M.; Barrio, I.; Lazaro, S.; Gonzalez, N.; Bare, M.; Fernandez-de-Larrea, N.; Cortajarena, S.; Bilbao, A.; Aguirre, U.; Quintana, J.M. (2023)

  Purpose: To identify 5-year survival prognostic variables in patients with colorectal cancer (CRC) and to propose a survival prognostic score that also takes into account changes over time in the patient's health-related ...

• Age or lifestyle-induced accumulation of genotoxicity is associated with a length-dependent decrease in gene expression 

  Ibañez-Solé, O.; Barrio, I.; Izeta, A. (2023)

  DNA damage has long been advocated as a molecular driver of aging. DNA dam- age occurs in a stochastic manner, and is therefore more likely to accumulate in longer genes. The length-dependent accumulation of transcripti ...

• Variable selection with LASSO regression for complex survey data 

  Iparragirre, A.; Lumely, T.; Barrio, I.; Arostegui, I. (2023)

  Variable selection is an important step to end up with good prediction models. LASSO regression models are one of the most commonly used methods for this purpose, for which cross-validation is the most widely applied ...

• Estimation of cut-off points under complex-sampling design data 

  Iparragirre, A.; Barrio, I.; Aramendi, J.; Arostegui, I. (2022)

  In the context of logistic regression models, a cut-off point is usually selected to dichotomize the estimated predicted probabilities based on the model. The techniques proposed to estimate optimal cut-off points in the ...

• 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)

  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 ...

• 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)

  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, ...

• Multidimensional Adaptive Penalised Splines with Application to Neurons' Activity Studies 

  Rodríguez-Álvarez, M.X.; Durbán, M.; Eilers, P.H.C.; Lee, D.J.; Gonzalez, F. (2020)

  P-spline models have achieved great popularity both in statistical and in applied research. A possible drawback of P-spline is that they assume a smooth transition of the covariate effect across its whole domain. In some ...

• 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)

  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 ...

• Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering 

  del Barrio, E.; Inouzhe, H.; Loubes, J.-M. (2022-10-20)

  We consider the problem of diversity enhancing clustering, i.e, developing clustering methods which produce clusters that favour diversity with respect to a set of protected attributes such as race, sex, age, etc. In the ...

• 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)

  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)

  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 ...

• Variable selection in high-dimensional data: application in a SARS-CoV-2 pneumonia clinical data-set 

  Hayet-Otero, M. (2021-09-15)

  As a result of the COVID-19 pandemic that collapsed hospitals in some countries, numerous studies have been carried out to understand the development of the disease and how it affects patients with different characteristics, ...

• 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)

  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 ...

• Desarrollo de sistema de Machine Learning para la prediccion de vía aérea a partir de imagen facial con dispositivo movil 

  Mendoza Garcés, F.; Irigoyen Miró, S.; García, F.; González, J.; García, S.; Telletxea, S. (2022-04)

  El manejo de una vía aérea difícil (VAD) representa aún una causa importante de lesiones relacionadas con la anestesia, cuyas complicaciones son potencialmente mortales. El notable interés en la predicción de VAD ha provocado ...

• 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)

  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 ...

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