5 documents found, page 1 of 1
Machine learning prediction of mortality in acute myocardial infarction
Oliveira, Mariana; Seringa, Joana; Pinto, Fausto J.; Henriques, Roberto; Magalhães, TeresaBackground: Acute Myocardial Infarction (AMI) is the leading cause of death in Portugal and globally. The present investigation created a model based on machine learning for predictive analysis of mortality in patients with AMI upon admission, using different variables to analyse their impact on predictive models. Methods: Three experiments were built for mortality in AMI in a Portuguese hospital between 2013 a...
Big data and machine learning to tackle diabetes management
Pina, Ana F; Meneses, Maria João; Sousa-Lima, Inês; Henriques, Roberto; Raposo, João F; Macedo, Maria PaulaType 2 Diabetes (T2D) diagnosis is based solely on glycaemia, even though it is an endpoint of numerous dysmetabolic pathways. Type 2 Diabetes complexity is challenging in a real-world scenario; thus, dissecting T2D heterogeneity is a priority. Cluster analysis, which identifies natural clusters within multidimensional data based on similarity measures, poses a promising tool to unravel Diabetes complexity.
Modelação do Crescimento Urbano Para a Distribuição Eficaz das Forças de Segura...
Ribeiro, Sara; Cabral, Pedro; Henriques, Roberto; Bravo, Jorge; Rodrigues, Teresa; Painho, MarcoA segurança é um fenómeno complexo e dinâmico, exigindo novas abordagens dotadas de instrumentos de apoio à decisão adequados. No âmbito das políticas públicas de segurança, o projeto SIM4SECURITY tem como objetivo criar uma solução tecnológica de apoio à decisão que permita melhorar a eficácia da atividade operacional das forças de segurança. Afigurase necessário o estudo da evolução da urbanização para compre...
Learning the Structure of Bayesian Networks: A Quantitative Assessment of the E...
Beretta, Stefano; Castelli, Mauro; Gonçalves, Ivo; Henriques, Roberto; Ramazzotti, DanieleOne of the most challenging tasks when adopting Bayesian networks (BNs) is the one of learning their structure from data. This task is complicated by the huge search space of possible solutions and by the fact that the problem is NP-hard. Hence, a full enumeration of all the possible solutions is not always feasible and approximations are often required. However, to the best of our knowledge, a quantitative ana...
Sistema de Indicadores de Transportes Colectivos de Passageiros: uma abordagem ...
Painho, Marco; Henriques, Roberto; Laginha, CristinaCOLLECTIVE TRANSPORT INDICATORS SYSTEM; A GEOGRAPHIC APPROACH. Institutions responsible for transport planning and management at a national level, particularly with regard to regulation of existing means of transport, are struggling with problems connected with both the quantity and the quality of information available.Digital geographic information has been growing in importance as a result of information tech...