5 documents found, page 1 of 1
Architecture proposal for deploying and integrating intelligent models in ABI
Gomes, Rui; Duarte, Júlio Miguel Marques; Quintas, Cesar; Salazar, Maria Manuel; Santos, ManuelThe integration of Adaptive Business Intelligence systems in healthcare has garnered significant attention due to their potential to manage the ever-growing volume of healthcare data and enhance the quality of care provided to society. ABI systems also play a crucial role in supporting hospital administrators in making strategic decisions. To facilitate the transparency and interoperability of these solutions, ...
Data Mining models for automatic problem identification in intensive medicine
Quesado, Inês; Duarte, Júlio Miguel Marques; Silva, Alvaro; Manuel, Maria; Quintas, CesarThis paper aims to support medical decision making on predicting the diagnosis of COVID-19. Thus, a set of Data Mining (DM) models was developed using prediction techniques and classification models. These models try to understand whether the vital signs of patients have a correlation with a diagnosis. To achieve the objective of the paper, initially, the data was acquired and collected from several data source...
Association models for relating problems with semiologic data in intensive medi...
Tavares, Inês; Duarte, Julio; Peixoto, Hugo; Silva, Alvaro; Manuel, Maria; Quintas, CesarIn Intensive Medicine, the large amount of data that medical professionals are subject to can be overwhelming, leading to the use of techniques and treatments that may not be the most effective in treating patients. Should there be a need to cross planning registries made by doctors and nurses with patients' problems, the situation becomes unmagenable. To support health professionals' decision-making process, a...
Decision models on therapies for intensive medicine
Passos, Maria; Duarte, Júlio Miguel Marques; Silva, Alvaro; Manuel, Maria; Quintas, CesarDecision support models are crucial in intensive care units as they allow intensivists to make faster and better decisions. The application of optimization models in these areas becomes challenging given its complexity and multidisciplinary nature. The main objective of this study is to use the stochastic Hill Climbing optimization model in order to identify the best medication to treat the Covid Pneumonia prob...
Clinical business intelligence to prevent stroke accidents
Gonçalves, Nuno; Quintas, Cesar; Machado, José ManuelStroke is considered the third main cause of death among all population, without distinguishing genders, led by heart diseases in first place. In other hand, despite representing a significant number of mortality, these diseases are the causes for a long-term disability in all countries with a vast recovery time going parallel with its costs. However, leaving aside this facts, stokes and heath diseases can also...