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Prediction of nosocomial infections associated with surgical interventions

Fernandes, Diogo; Cardoso, Sara; Miranda, João; Duarte, Júlio Miguel Marques; Santos, Manuel Filipe

Nosocomial infections represent an ongoing challenge to healthcare quality and patient safety, negatively impacting clinical outcomes and increasing the burden on healthcare systems. Thus, controlling this type of infection plays a very important role in ensuring a better quality of life for patients. Although the control and prevention measures for these infections are well defined, their signaling and detecti...


A comparative study of classification algorithms for early detection of diabetes

Carpinteiro, César; Lopes, João; Abelha, António; Santos, Manuel Filipe

Diabetes is a chronic disease that affects millions of people worldwide. Early detection of diabetes is crucial for preventing or delaying the onset of its associated complications. In this study, in collaboration with Unidade Local de Saúde do Alto Minho (ULSAM), we conducted a comprehensive comparison of various classification algorithms for the early detection of diabetes. We collected and pre-processed a da...


Rule-based system for effective clinical decision support

Silva, Beatriz; Hak, Francini; Guimarães, Tiago; Manuel, Maria; Santos, Manuel Filipe

Clinical Decision Support Systems (CDSS) are being increasingly requested and are an important role in health units. Due to the high number of data produced daily, it is necessary that these data are stored and manipulated in order to acquire knowledge to assist the decision-making processes. Representing knowledge in knowledge-based systems is one of the main tasks for achieving an effective CDSS. In this way,...


A framework to evaluate big data fabric tools

Alpoim, Ângela; Lopes, João António Araújo; Guimarães, Tiago André Saraiva; Portela, Carlos Filipe; Santos, Manuel Filipe

A huge growth in data and information needs has led organizations to search for the most appropriate data integration tools for different types of business. The management of a large dataset requires the exploitation of appropriate resources, new methods, as well as the possession of powerful technologies. That led the surge of numerous ideas, technologies, and tools offered by different suppliers. For this rea...


Adaptive business intelligence: a new architectural approach

Lopes, João António Araújo; Guimarães, Tiago; Santos, Manuel Filipe

Healthcare systems face enormous challenges, fundamentally due to the amount of data generated daily in a hospital environment, which forces entities to reflect on how to organize and use the same data. Currently, the number of studies at this level is growing, focusing on the innovation to be implemented, so that this same sector can adopt new methodologies, architectures and technologies that allow a more eff...


Multichannel interaction for healthcare intelligent decision support

Moreira, Ailton; Santos, Manuel Filipe

Hospital 4.0 enables the paradigm of personalized healthcare services to be increasingly easy and more effective by using emerging technologies. Multichannel interaction services aim precisely to take advantage of this trend by introducing a multichannel interaction model that enables interaction between different health service actors (patients, nurses, doctors, administrative staff, pharmaceutics, technicians...


Towards PWA in Healthcare

Rego, Felipe; Portela, Filipe; Santos, Manuel Filipe

Nowadays there is a very large number of mobile applications that use the network to offer some functionality to users and because of this, applications are limited by the network conditions, such as network latency. These mobile applications usually are developed in a traditional approach, designated as a native approach and its goal is to develop the application to a specific operating system (iOS, Android). ...


An online-processing critical patient monitoring system - an interoperability o...

Portela, Filipe; Miranda, Filipe; Santos, Manuel Filipe; Abelha, António; Machado, José Manuel

With the increasing expansion of Healthcare Information Systems, platforms for interoperability and monitoring systems have become vital tools to support the clinical practice. Under this scenario, the creation of knowledge in real-time to feed decision support tools is essential. INTCare is one the solutions that adapts the way that information is gathered and processed in order to obtain that knowledge. Once ...


A pervasive business intelligence solution to manage portuguese misericordia

Coelho, Danilo; Portela, Filipe; Santos, Manuel Filipe; Machado, José Manuel; Abelha, António

Science and Technology Publications, Lda. All rights reserved. Currently, the healthcare system is one of the main pillars of any society. Given the economic crisis in Portugal and poor healthcare system in need of profound improvements, the need to increase the efficiency of resource management and services is imperative. With the increasing use of Business Intelligence (BI) in organisations and the proven eff...


A benchmarking analysis of open-source business intelligence tools in healthcar...

Brandão, Andreia; Pereira, Eliana; Esteves, Marisa; Portela, Carlos Filipe; Santos, Manuel Filipe; Abelha, António; Machado, José

In recent years, a wide range of Business Intelligence (BI) technologies have been applied to different areas in order to support the decision-making process. BI enables the extraction of knowledge from the data stored. The healthcare industry is no exception, and so BI applications have been under investigation across multiple units of different institutions. Thus, in this article, we intend to analyze some op...


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