41 documents found, page 1 of 5

Predicting red blood cell transfusion in elective cardiac surgery: a machine le...

The benefits of Patient Blood Management can vary depending on a patient’s risk profile for requiring a blood transfusion. The objective of this study is to develop and analyse machine learning models that can identify patients at risk of requiring red blood cell transfusion. This retrospective cohort study was conducted at a tertiary northern Portuguese hospital between 2018 and 2023. Two machine learning algo...

Aggregation in Ill-Conditioned Regression Models: A Comparison with Entropy-Bas...

Despite the advances on data analysis methodologies in the last decades, most of the traditional regression methods cannot be directly applied to large-scale data. Although aggregation methods are especially designed to deal with large-scale data, their performance may be strongly reduced in ill-conditioned problems (due to collinearity issues). This work compares the performance of a recent approach based on n...

Explorando a lei de formação das estrelas por seleção de variáveis

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Stable variable selection method with shrinkage regression applied to the selec...

In this work, we aimed to establish a stable and accurate procedure with which to perform feature selection in datasets with a much higher number of predictors than individuals, as in genomewide association studies. Due to the instability of feature selection where many potential predictors are measured, a variable selection procedure is proposed that combines several replications of shrinkage regression models...

A multiobjective optimization approach to pulmonary rehabilitation effectivenes...

Chronic obstructive pulmonary disease (COPD) is a common disease that accounts for a significant individualand societal burden. Pulmonary rehabilitation (PR) is a key management strategy but it is highly inaccessible, makingprioritisation highly needed. This study aimed to determine and optimize predictive models of PR outcomes and builda tool to help healthcare professionals in their clinical decision-making a...

Analysis of potential risk factors for multidrug-resistance at a burn unit

Background: Infections by multidrug-resistant (MDR) microorganisms are associated with increased morbidity and mortality in burn patients. This study aimed to analyze the evolution of MDR bacteria over a five-year period at Coimbra Burns Unit (CBU) in Portugal, seeking to assess the possible associations of specific bacteria with presumed risk factors. Methods: The data obtained consisted of identified bacteria...

Challenges to Disable the Tax Enablers

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Assessment of the stability of a procedure for variables selection in high dime...

COPD profiles and treatable traits using minimal resources: Identification, dec...

Background and objective: Profiles of people with chronic obstructive pulmonary disease (COPD) often do not describe treatable traits, lack validation and/or their stability over time is unknown. We aimed to identify COPD profiles and their treatable traits based on simple and meaningful measures; to develop and validate a decision tree and to explore profile stability over time. Methods: An observational, pros...

COPD profiles and treatable traits using minimal resources: identification, dec...

Background and objective: Profiles of people with chronic obstructive pulmonary disease (COPD) often do not describe treatable traits, lack validation and/or their stability over time is unknown. We aimed to identify COPD profiles and their treatable traits based on simple and meaningful measures; to develop and validate a decision tree and to explore profile stability over time. Methods: An observational, pros...