119 documents found, page 1 of 12
Non-Ergodic Theory vs. Fractal Geometry in Organizational Learning and Dynamic ...
Lima, Rui; Marreiros, Goreti; Fdez-Riverola, Florentino; Vicente, Henrique; Neves, JoséThis paper examines the adoption of non-Ergodic Theory and Fractal Geometry to enhance organizational learning in healthcare food catering. It critiques conventional linear models, promoting an understanding of varied learning processes across organizational strata. Non-Ergodic Theory emphasizes the diversity of learning among individuals and groups, while Fractal Geometry examines learning as self-similar patt...
Advancing Smart Urban Futures in the Healthcare Sector
Alves, Vitor; Marreiros, Goreti; Fdez-Riverola, Florentino; Neves, José; Ribeiro, Jorge; Vicente, HenriqueAs urban development stands on the brink of a new epoch, the imperative exploration of artificial intelligence, logic programming, and entropy demands visionary planning, ethical conduct, and a deep appreciation of their far-reaching impact when synergized within smart city frameworks. This study delves into the complex relationship between artificial intelligence, logic programming, and entropy, highlighting t...
Assessing the Impact of Psychosocial Factors on the Behavior of Diabetic Patien...
Vicente, Henrique; Portela, Manuel; Ávidos, Liliana; Neves, João; Marreiros, Goreti; Neves, JoséDiabetic neuropathy is a prevalent consequence of diabetes, impacting as many as half of those diagnosed with the condition. This ailment results from nerve damage, manifesting as sensory and motor symptoms such as tingling, numbness, and discomfort in the extremities, especially the hands and feet. Diabetic neuropathy considerably diminishes the patient’s quality of life, prompting both physical and emotional ...
Are heterogeinity and conflicting preferences no longer a problem? Personality-...
Alves, Patrícia; Martins, André; Negrão, Francisco; Novais, Paulo; Almeida, Ana; Marreiros, GoretiThe complexity associated with groups of tourists led to the emergence of Group Recommender Systems (GRS) for tourism. But if generating recommendations for small groups is a complex task, to provide them to large and occasional groups is even more. This complexity is especially due to the group's heterogeinity, conflicting preferences, the information overload found on the internet and the tourists’ different ...
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...
A systematic review on recommendation systems applied to chronic diseases
Vieira, Ana; Carneiro, Maria; Novais, Paulo; Corchado, Juan; Marreiros, GoretiA large percentage of the worldwide population is affected by chronic diseases, leading to a burden of the patient and the national healthcare systems. Recommendation systems are used for the personalization of healthcare due to their capacity of performing predictive analyses based on the patient's clinical data. This systematic literature review presents four research questions to provide an overall state of ...
Group recommender systems for tourism: how does personality predict preferences...
Gonçalves, Patrícia; Martins, Helena; Saraiva, Pedro; Carneiro, João; Novais, Paulo; Marreiros, GoretiTo travel in leisure is an emotional experience, and therefore, the more the information about the tourist is known, the more the personalized recommendations of places and attractions can be made. But if to provide recommendations to a tourist is complex, to provide them to a group is even more. The emergence of personality computing and personality-aware recommender systems (RS) brought a new solution for the...
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...
Improving group recommendations using personality, dynamic clustering and Multi...
Alves, Patrícia; Martins, André; Novais, Paulo; Marreiros, GoretiThe complexity associated to group recommendations needs strategies to mitigate several problems, such as the group's heterogeinity and conflicting preferences, the emotional contagion phenomenon, the cold-start problem, and the group members' needs and concerns while providing recommendations that satisfy all members at once. In this demonstration, we show how we implemented a Multi-Agent Microservice to model...
Anomaly Detection on Natural Language Processing to Improve Predictions on Tour...
Meira, Jorge; Carneiro, João; Bolón-Canedo, Verónica; Alonso-Betanzos, Amparo; Novais, Paulo; Marreiros, GoretiArgumentation-based dialogue models have shown to be appropriate for decision contexts in which it is intended to overcome the lack of interaction between decision-makers, either because they are dispersed, they are too many, or they are simply not even known. However, to support decision processes with argumentation-based dialogue models, it is necessary to have knowledge of certain aspects that are specific t...