28 documents found, page 1 of 3
Ethical decision-making in Artificial Intelligence: a logic programming approach
Machado, José Manuel; Sousa, Regina; Peixoto, Hugo; Abelha, AntónioThis article proposes a framework for integrating ethical reasoning into AI systems through Continuous Logic Programming (CLP), emphasizing the improvement of transparency and accountability in automated decision-making. The study highlights requirements for AI that respects human values and societal norms by examining concerns such as algorithmic bias, data privacy, and ethical dilemmas in fields like healthca...
Towards a standardized real-time data repository based on laboratory test results
Sousa, Regina; Peixoto, Hugo; Guimarães, Tiago André Saraiva; Abelha, António; Machado, José ManuelHealthcare facilities use huge quantities of real-time and analytical data to discover meaningful information from patient clinical lab results. Advanced analytics and machine learning algorithms help doctors identify and treat patients more accurately. Accurate models must be trained, tested, and validated with enough data. New real-time data allows healthcare practitioners to quickly and accurately analyse pa...
Revolutionising the quality of life: the role of real-time sensing in smart cities
Miranda, Rui; Alves, Carlos Manuel Ferreira; Sousa, Regina; Chaves, António; Martinez, Larissa Muriel Montenegro; Peixoto, Hugo; Durães, DalilaTo further evolve urban quality of life, this paper explores the potential of crowdsensing and crowdsourcing in the context of smart cities. To aid urban planners and residents in understanding the nuances of day-to-day urban dynamics, we actively pursue the improvement of data visualisation tools that can adapt to changing conditions. An architecture was created and implemented that ensures secure and easy con...
The interplay of inflation, healthcare spending, and suicide rates: an empirica...
Sousa, Regina; Ribeiro, Cláudia; Cardoso, Cátia; Freixo, Bárbara; Peixoto, Hugo; Abelha, António; Machado, José ManuelThis paper investigates the complex interrelation between economic indicators, such as inflation and government spending, and their consequences for public health and suicide rates. Scholars and policymakers are increasingly focused on understanding how economic volatility affects individuals’ resource access and stress levels, thus influencing societal well-being. This study analyzes data from three public dat...
Gamification in mobile applications: techniques, benefits and challenges
Oliveira, Mariana; Abelha, António; Sousa, Regina; Peixoto, HugoGamification, the integration of game-design elements into non-game contexts, has gained significant traction in the development of mobile applications across various sectors, including health, education, commerce, and environmental sustainability. This article explores the effectiveness, benefits, challenges, and future directions of Gamification in mobile apps. By enhancing user engagement, motivation, and lo...
Unlocking healthcare data potential: a comprehensive integration approach with ...
Sousa, Regina; Abelha, Vasco António Pinheiro Costa; Peixoto, Hugo; Machado, José ManuelThis paper investigates the transformative potential of integrating technical and methodological tools such as GraphQL, openEHR, Redis, and Pervasive Business Intelligence in healthcare. Modern healthcare systems face data silos, interoperability, and efficient data communication challenges. The integration of these technologies offers innovative solutions to address these challenges. GraphQL, known for its fle...
Harnessing data mining to predict survival outcomes in patients with hepatic ci...
Sousa, Regina; Passos, Madalena; Almeida, Mariana; Ribeiro, Mariana; Peixoto, HugoHepatic cirrhosis represents an advanced stage of fibrosis in the liver, resulting from various conditions such as hepatitis and chronic alcoholism. This article uses data from the Mayo Clinic's clinical trial on primary bile cirrhosis carried out between 1974 and 1984. Rapid and accurate identification of the condition is crucial for the implementation of effective interventions, capable of mitigating liver da...
Collaborative platform for intelligent monitoring of diabetic foot patients - C...
Chaves, António; Sousa, Regina; Machado, José Manuel; Abelha, António; Peixoto, HugoThis research work aims to set the basis for the development of a multidisciplinary platform designed to assist healthcare professionals, their institutions and more important, diabetic patients to manage diabetic foot syndrome complications. The system’s primary function is the automated classification of diabetic foot ulcers (DFU), with the ultimate goal of expediting treatment and improving patient well-bein...
Primary health care appointments and hospital stay: an impact analysis
Lopes, Joana; Miranda, Tiago; Sousa, Regina; Machado, José ManuelThe study of avoidable hospitalizations has gained international prom-inence due to its potential to assess the performance of healthcare systems. In Canada and Spain, these hospitalizations are analyzed through Ambulatory Care Sensitive Conditions (ACSC), indicating situations that could have been pre-vented or treated without hospitalization. In Portugal, this concept is represented by the term ICSCSP, focusi...
Controlo da glicemia na pessoa em situação crítica
Bandeira, Sandrina; Sousa, Regina; Dinis, Pedro; Santos, Cláudia; Casanova, PaulaIntrodução: O controlo da glicemia na pessoa em situação crítica (PSC) foi implementado num Serviço de Medicina Intensiva de um Centro Hospitalar Universitário (CHU), em 2003. Tendo por base as publicações da Dra Greet Van Den Berghe e colaboradores, foi criado um grupo de trabalho e desenhado um algoritmo de atuação que foi sofrendo várias alterações, sustentadas pela evidência científica e auditorias internas...