75 documents found, page 1 of 8
An architectural proposal for injury assessment in occupational medicine
Fernandes, Mariana; Peixoto, Hugo; Machado, José ManuelOccupational medicine focuses on protecting workers’ health, through the prevention of work-related illnesses and diseases, ensuring safety and well-being to perform their functions. This reflects in more productivity and resilience that comes with healthy workers, who experience fewer sick days and have more job satisfaction. Ultimately, this benefits both employees and the companies they work for, contributin...
Enhancing automotive products with TinyML and MEMS sensors: a preliminary approach
Sousa, Lídia; Silva, Rui; Peixoto, Hugo; Melo-Pinto, Pedro; Costa, André; Melo, César; Delgado, Pedro; Fukuda, Vitor; Machado, José ManuelThe Tiny Machine Learning (TinyML) research field has seen exponential growth in recent years, mostly due to advances in the usage of IoT devices and microcontrollers. Despite major challenges related to hardware constraints, TinyML has been expanding the scope of applications in several domains, with the automotive industry taking special interest in these models for their potential to enhance existing Advance...
Streamlining healthcare quality management with an web audit platform
Sousa, Rita; Esteves, Carlos; Abelha, António; Peixoto, HugoThe quality management of services and products in health institutions covers several areas such as health education, access to information on prevention programs, disease tracking, professional training, availability of diagnostic equipment and therapeutic resources available, which demonstrates the importance that this management has to ensure an efficient administration. To ensure excellence, institutions ar...
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...
Innovative mobile solutions for visual and mobility disabilities: a comprehensi...
Fernandes, Joana; Machado, José Manuel; Duarte, Júlio Miguel Marques; Peixoto, HugoThis article provides an in-depth review of mobile applications designed to assist individuals with visual and mobility impairments, highlighting how technological advancements enhance independence and quality of life. It examines four key applications: Be My Eyes, which connects visually impaired users with volunteers and integrates AI for real-time visual assistance; TapTapSee, which uses image recognition to...
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...