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Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia
(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
(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 ...
Variable selection with LASSO regression for complex survey data
(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 ...
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
(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 ...
Estimation of cut-off points under complex-sampling design data
(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 ...
Impacto cuantitativo de la contaminación en la probabilidad de muerte por neumonía por SARS-CoV-2
(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 ...
Predicción de la gravedad de neumonías por SARS-CoV-2 a partir de información clínica y contaminación, mediante inteligencia artificial
(2021-11)
Introducción
La contaminación del aire exterior se ha relacionado con mayor gravedad de las infecciones respiratorias. Por tanto, su inclusión en algoritmos predictivos podrían añadir información para pronosticar la ...
Selecting the number of categories of the lymph node ratio in cancer research: A bootstrap-based hypothesis test
(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 ...
Predictive factors over time of health-related quality of life in chronic obstructive pulmonary disease patients
(2020-01)
Background: Health-related quality of life (HRQoL) should be seen as a tool that provides an overall view of the general clinical condition of a COPD patient. The aims of this study were to identify variables associated ...
Anxiety and depressive symptoms are related to core symptoms, general helath outcome and medical comorbidities in eating disorders
(2019-04)
Objective: The goal of this study is to identify potential factors that have a significant effect on anxiety and depression of patients with eating disorders (ED) using the beta-binomial regression (BBR) approach on a broad ...