64 documents found, page 1 of 7
Life cycle assessment using machine learning
Gomes, Sofia; Faria, Brígida Mónica; Oliveira, Alexandra Alves; Pinto, Edgar; Rodrigues, Matilde; Vieira, Manuela; Faria, Brigida MonicaLife Cycle Assessment (LCA) is a scientific tool that allows calculating the impact of a product or service on the environment, considering the different phases from planting to transportation, commercialization, consumption, and disposal. (1) LCA requires comprehensive data collection of the inputs and outputs such as raw materials, energy, water, used chemicals and pollutants emissions at each stage of the li...
Machine learning in tumor classification in breast cancer
Lima, Ana Sofia; Coutinho, Carolina; Machado, Raquel; Oliveira, Alexandra Alves; Faria, Brígida Mónica; Faria, Brigida Monica; Oliveira, AlexandraBreast cancer is the primary cause of mortality among women worldwide (1). Discernible patterns can be found within the disease, presenting an opportunity for the application of machine learning (ML), garnering effective results in screening and diagnosis. Different ML algorithms were tested - Decision Tree, Deep Learning (DL), k-Nearest Neighbors (k-NN) and Naïve Bayes - to construct a predictive model allowin...
Comparing time series forecasting models for health indicators: A clustering an...
Vinhal, Cláudia; Oliveira, Alexandra; Faria, Brígida; Nascimento, Ana Paula; Pimenta, Rui; Oliveira, Alexandra; Faria, Brigida Monica; Pimenta, RuiTime series are the sequence of observations ordered by equal time intervals, crucial for understanding causality, trends, and forecasts. Its analysis can be applied to several areas, such as engineering, finance, and health (1,2). One problem with the time series study is clustering, mainly understanding when two parametric time series are considered similar (3). The sum of mortality and morbidity, referred to...
Swallowing assessment in a clinical context: artificial intelligence applications
Torres, Teresa; Faria, Brígida; Araújo, Pedro; Oliveira, Alexandra; Alves, Elisa; Faria, Brigida Monica; Oliveira, AlexandraEating and swallowing are intricate actions comprehending both voluntary and reflexive movements, engaging over thirty nerves and muscles (1). Dysphagia occurs when the normal swallowing process is compromised, increasing the risk of the swallowed material entering the larynx, and causing complications for the patient (2). Cervical auscultation (CA) is a clinical method used to evaluate the pharyngeal phase of ...
Heterogeneity in families with ATTRV30M amyloidosis: a historical and longitudi...
Pedroto, Maria; Coelho, Teresa; Fernandes, Joana; Oliveira, Alexandra; Jorge, Alípio; Moreira, João Mendes; Oliveira, AlexandraHereditary transthyretin amyloidosis (ATTRv amyloidosis) is an inherited disease, where the study of family history holds importance. This study evaluates the changes of age-of-onset (AOO) and other age-related clinical factors within and among families affected by ATTRv amyloidosis. We analysed information from 934 trees, focusing on family, parents, probands and siblings relationships. We focused on 1494 fema...
Sleep quality of heavy vhicles’ professional drivers: an analysis based on self...
Faria, Brígida Mónica; Lopes, Tatiana; Oliveira, Alexandra; Pimenta, Rui; Gonçalves, Joaquim; Carvalho, Victor; Faria, Brigida Monica; Pimenta, RuiSleep is a crucial biological need for all individuals, being reparative on a physical and mental level. Driving heavy vehicles is a task that requires constant attention and vigilance, and sleep deprivation leads to behavioral and physiological changes that can develop sleep disorders which can put lives at risk The main objectives of this study are to describe and evaluate sleep quality, excessive daytime sle...
Assessing sleep quality of professional drivers: an analysis based on self-perc...
Lopes, T.; Faria, Brigida Monica; Oliveira, Alexandra; Pimenta, Rui; Reis, L. P.Portugal has been ranked as the fourth European country with the highest incidence of falling asleep while driving. The quality of sleep comprises both quantitative aspects, such as sleep duration and sleep latency, and qualitative aspects, such as mood and health status. Neglecting the quality and quantity of sleep can result in fatigue, affecting multiple aspects of safe driving, such as attentiveness to the ...
Affinity coefficient for clustering autoregressive moving average models
Nascimento, Ana Paula; Oliveira, Alexandra; Faria, Brígida Mónica; Pimenta, Rui; Vieira, Mónica; Prudêncio, Cristina; Nicolau, Helena BacelarIn various fields, such as economics, finance, bioinformatics, geology, and medicine, namely, in the cases of electroencephalogram, electrocardiogram, and biotechnology, cluster analysis of time series is necessary. The first step in cluster applications is to establish a similarity/dissimilarity coefficient between time series. This article introduces an extension of the affinity coefficient for the autoregres...
Evidence for an association of prenatal exposure to particulate matter with cli...
Santos, João Xavier; Sampaio, Pedro; Rasga, Célia; Martiniano, Hugo; Faria, Clarissa; Café, Cátia; Oliveira, Alexandra; Duque, FredericoEarly-life exposure to air pollutants, including ozone (O3), particulate matter (PM2.5 or PM10, depending on diameter of particles), nitrogen dioxide (NO2) and sulfur dioxide (SO2) has been suggested to contribute to the etiology of Autism Spectrum Disorder (ASD). In this study, we used air quality monitoring data to examine whether mothers of children with ASD were exposed to high levels of air pollutants duri...
The Cost of Meningococcal Meningitis in Portugal
Rodrigues, Fernanda; Pinheiro, Bernardete; Guerreiro, Rita; Gouveia, Miguel; Eloi, João; Alves, Cristina; Castela, Guilherme; Oliveira, AlexandraIntroduction: Invasive meningococcal disease (IMD) is an infection caused by the bacterium Neisseria meningitidis, and a major cause of meningitis (MM) and/or septicemia (MS). The aim of this study is to estimate the costs of IMD (MM and MS) for Portuguese state.Methods: To estimate the costs associated with IMD, a model was developed, where patients can have one of three outcomes: survive without sequelae, sur...