40 documents found, page 1 of 4
Multidisciplinary development and initial validation of a clinical knowledge ba...
Pereira, Ana Margarida; Jácome, Cristina; Jacinto, Tiago; Amaral, Rita; Pereira, Mariana; Sá-Sousa, Ana; Couto, Mariana; Vieira-Marques, PedroMost mobile health (mHealth) decision support systems currently available for chronic obstructive respiratory diseases (CORDs) are not supported by clinical evidence or lack clinical validation. The development of the knowledge base that will feed the clinical decision support system is a crucial step that involves the collection and systematization of clinical knowledge from relevant scientific sources and its...
Emerging technologies to promote fans interaction in football events: a systema...
Martins, Francisco; França, Cíntia; Santos, Francisco; Martinho, Diogo; Saldanha, Carolina; Gouveia, Élvio RúbioReview question / Objective: The search terms used for this review were constructed using the PICOS framework: (1) population were people in general of both genders and any age, (2) studies based on digital technologies used in football sportive events, (3) comparisons made in the domains of motivation, interaction, satisfaction and interest, (4) data reporting the use of digital tools (studies with no results ...
Design and development of ontology for ai-based software systems to manage the ...
Martinho, Diogo; Crista, Vítor; Karakaya, Ziya; Gamechi, Zahra; Freitas, Alberto; Neves, José; Novais, Paulo; Marreiros, GoretiPoor and sedentary lifestyles combined with bad dietary habits have an impact on our health. Nowadays, diet-related diseases have become a major public health issue, threatening the sustainability of healthcare systems, and new strategies to promote better food intake are now being explored. In this context, the use of ontologies has gained importance over the past decade and become more prevalent. By incorpora...
An Intelligent Coaching Prototype for Elderly Care
Martinho, Diogo; Crista, Vítor; Carneiro, João; Corchado, Juan Manuel; Marreiros, GoretiThe world ageing problem is prompting new sustainable ways to support elderly people. As such, it is important to promote personalized and intelligent ways to assure the active and healthy ageing of the population. Technological breakthroughs have led to the development of personalized healthcare systems, capable of monitoring and providing feedback on different aspects that can improve the health of the elderl...
Artificial intelligence in digital mental health
Lopes Martins, Constantino; Martinho, Diogo; Marreiros, Goreti; Conceição, Luís; Faria, Luiz; Simões De Almeida, RaquelThe prevention of diseases considered a scourge of our society, as for example mental illness, particularly anxiety disorders and depressive states, is a primary and urgent goal today and a priority axis of the EU. Mental illness includes many clinical conditions associated with several changes that include limitations related with social interaction or several tasks such as sleeping through the night, doing ho...
Diabetic-friendly multi-agent recommendation system for restaurants based on so...
Teixeira, Bruno; Martinho, Diogo; Novais, Paulo; Corchado, Juan; Marreiros, GoretiLifestyle, poor diet, stress, among other factors, strongly contribute to aggravate people's health problems, such as diabetes and high blood pressure. Some of these problems could be avoided if some of the essential recommendations for the practice of a healthy lifestyle were followed. The paper proposes a solution designed for diabetic people to find restaurants nearby that are more suitable for their health ...
A web-based group decision support system for multicriteria problems
Conceição, Luís; Martinho, Diogo; Andrade, Rui; Carneiro, João; Martins, Constantino; Marreiros, Goreti; Novais, PauloOne of the most important factors to determine the success of an organization is the quality of decisions made. Supporting a decision-making process is a complex task, mainly when decision-makers are dispersed. Group decision support systems (GDSSs) have been studied over the last decades with the goal of providing support to decision-makers; however, their acceptance by organizations has been difficult. This h...
A reinforcement learning approach to improve user achievement of health-related...
Martinho, Diogo; Carneiro, João; Neves, José; Novais, Paulo; Corchado, Juan; Marreiros, GoretiThe demand and interest for personalized, efficient, and inexpensive healthcare solutions has significantly increased over the last decade to overcome the major limitations of existing traditional healthcare approaches. This new trend relies on the definition of intelligentmechanisms that can persuade the end-user to achieve health-related outcomes and ultimately improve his health condition and well-being. In ...
A Multiple Criteria Decision Analysis Framework for Dispersed Group Decision-Ma...
Carneiro, João; Martinho, Diogo; Alves, Patrícia; Conceição, Luís; Marreiros, Goreti; Novais, PauloTo support Group Decision-Making processes when participants are dispersed is a complex task. The biggest challenges are related to communication limitations that impede decision-makers to take advantage of the benefits associated with face-to-face Group Decision-Making processes. Several approaches that intend to aid dispersed groups attaining decisions have been applied to Group Decision Support Systems. Howe...
AIRDOC: Smart mobile application for individualized support and monitoring of r...
Almeida, Rute; Amaral, Rita; Jácome, Cristina; Martinho, Diogo; Vieira-Marques, Pedro; Jacinto, Tiago; Ferreira, Ana; Almeida, Ana; Martins, ConstantinoCurrent tools for self-management of chronic obstructive respiratory diseases (CORD) are difficult to use, not individualized and requiring laborious analysis by health professionals, discouraging their use in healthcare. There is an opportunity for cost-effective and easy-to-disseminate advanced technological solutions directed to patients and attractive to different stakeholders. The strategy of AIRDOC is to ...