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- An approach for assessing the distribution of reporting delay in portuguese AIDS dataPublication . Oliveira, Alexandra; Gaio, Ana Rita; da Costa, Joaquim Pinto; Reis, Luís PauloHIV/AIDS epidemic is an important public health problem. The burden of the epidemic is estimated from surveillance systems data. The collected information is incomplete, making the estimation a challenging task and the reported trends often biased. The most common incomplete-data problems, in this kind of data, are due to under-diagnosis and reporting delays, mainly in the most recent years. This is a classical problem for imputation methodologies. In this paper we study the distribution of AIDS reporting delays through a mix approach, combining longitudinal K-means with the generalized least squares method. While the former identifies homogeneous delay patterns, the latter estimated longitudinal regression curves. We found that a 2-cluster structure is appropriated to accommodate the heterogeneity in reporting delay on HIV/AIDS data and that the corresponding estimated delay curves are almost stationary over time.
- An approach to assess quality of life through biometric monitoring in cancer patientsPublication . Silva, Eliana; Aguiar, Joyce; Oliveira, Alexandra; Faria, Brígida Mónica; Reis, Luís Paulo; Carvalho, Victor; Gonçalves, Joaquim; Oliveira e Sá, JorgeCancer is a serious disease that causes significant disability and suffering, so naturally Health Related Quality of Life (HRQoL) is a major concern of patients, families and clinicians. This paper intends to relate biometric indices, in terms of HRV metrics, with self-perceived HRQoL from patients with lymphoma. Patients (N = 12) answered FACT questionnaire and used a smartband that collected biometrical data in real-time along the chemotherapy treatment. Our results revealed that Physical Well-Being, Total, Lymphoma subscale and FACT-Lym Trial Outcome domains seem to have a similar pattern that HRV metrics across the treatment cycles. In specific, the FACT domains and the HRV metrics have the lowest average levels on the first cycle and seem to increase along the following cycles (3rd and 6th cycles). This approach of continuous assessment of HRQoL will enable a better accuracy and more supported clinical decision.
- Assessing diabetes health literacy, knowledge and empowerment in northern PortugalPublication . Morais, Carminda S.; Pimenta, Rui; Ferreira, Pedro Lopes; Boavida, José M.; Amorim, José P.We evaluated the disease management, knowledge and quality of life (QoL) of people with type 2 diabetes, followed in the ambulatory of a Hospital in the North of Portugal. A questionnaire of socio-demographic and clinical characterization, and Portuguese versions of the DES-SF, DKT and EQ-5D were administered to a random sample of 260 individuals. The results showed that people in general feel able of self-management, with a mean±SD score of 3.7±0.7. DKT registered 63.4±12.3% of correct answers among diabetes non-insulin-treated individuals and 65.7±12.4% among the insulin-treated (p<0.001). The QoL, evaluated through EQ-5D index, presented a mean value of 0.65±0.3. We evidenced a significant positive correlation between the ability to control, the knowledge and the QoL. The conclusions obtained may help promote QoL and literacy enhancement, as well as the empowerment of individuals with type 2 diabetes.
- Autonomous creative learning strategy directed to higher education students in health areaPublication . Gomes, Paulo Veloso; Magalhães, Renato; Donga, João; Sá, Vítor J.; Ferreira, SandraAs digital native learners, Z and Alpha generation students upcoming new challenges for Higher Education Institutions. Their early contact with technological devices does not in itself confer the necessary digital skills to correctly apply technology in academic or professional contexts. Digital skills are fundamental to the future health professionals, improving their academic performance and prepares them for their integration into the labor market. The integration of information and communication technologies in the curricula of higher education courses in the health area is a differentiating factor for academic and professional enhancement. The Autonomous Creative Learning Strategy directed to higher education students in the health area is based on project-oriented approaches, combined with interactive and immersive based-gaming learning activities that appeal to creativity, autonomy and encourage proactivity, self-learning, and the constant search for continuous improvement.
- Creating emotions through digital media art: building empathy in immersive environmentsPublication . Gomes, Paulo Veloso; Sá, Vítor J.; Marques, António; Donga, João; Correia, António; Loureiro, Javier PereiraArt has a power different from all other human actions; it can produce a variety of human emotions like nothing else. The main purpose of this chapter is to study the relation between media arts and emotions. Virtual environments are increasingly being used by artists; the use of immersive environments allows the media art artist to go further than express himself, allows that through contemplation and interaction the participant also becomes part of the artistic artefact. Immersive environments can induce emotional changes capable of generating states of empathy. Considering an immersive environment as a socio-technical system, where human and non-human elements interact, establishing strong relationships, the authors used actor-network theory as an approach to design an immersive artifact of digital media art. The use of neurofeedback mechanisms during the participant's exposure to immersive environments opens doors to new types of interaction, allowing to explore emotional states to generate empathy.
- A data mining approach to predict falls in humanoid robot locomotionPublication . André, João; Faria, Brigida Monica; Santos, Cristina; Reis, Luís PauloThe inclusion of perceptual information in the operation of a dynamic robot (interacting with its environment) can provide valuable insight about its environment and increase robustness of its behaviour. In this regard, the concept of Associative Skill Memories (ASMs) has provided a great contributions regarding an effective and practical use of sensor data, under a simple and intuitive framework [2, 13]. Inspired by [2], this paper presents a data mining solution to the fall prediction problem in humanoid biped robotic locomotion. Sensor data from a large number of simulations was recorded and four data mining algorithms were applied with the aim of creating a classifier that properly identifies failure conditions. Using Support Vector Machines, on top of sensor data from a large number of simulation trials, it was possible to build an accurate and reliable offline fall predictor, achieving accuracy, sensitivity and specificity values up to 95.6%, 96.3% and 94.5%, respectively.
- Data quality miningPublication . Oliveira, Alexandra; Gaio, Rita; Baylina, Pilar; Rebelo, Carlos; Reis, Luís PauloWe are living in a world of information abundance, surplus, and access. We have technologies to acquire any type of information but we still face the challenge of extracting the underlying valuable knowledge. Data analyses and mining processes may be severely impaired whenever data are corrupted by noise, ambiguity and distortions. This paper aims to provide a systematic procedure for data cleaning in single files data sources without schema that may be corrupted by the most common data problems. The methodology is guided by the dimensions of data quality standards and focuses on the goal of performing reasonable posterior statistical analyses.
- DC motor educational kit: a teaching aid in control theoryPublication . Moreira, António Paulo; Costa, Paulo; Gonçalves, José; Faria, Brígida MónicaThis paper describes a laboratory control theory experiment supported by the use of a DC Motor Educational Kit. The impact, as a teaching aid, of the proposed laboratory control experiment is evaluated, having in mind the student’s feedback. The DC motor that is used in the developed educational Kit is the EMG30, being a low cost 12 V motor equipped with encoders and a 30:1 reduction gearbox. The experiment is based on real hardware and on simulation, using the SimTwo realistic simulation software. In order to implement the realistic simulation the EMG30 model was obtained. Students’ feedback was acquired using a questionnaire and the results confirmed the importance given to these practical experiments.
- Intelligent system for soccer referee’s position analysisPublication . Rego, Carlos Moreira; Reis, Luís Paulo; Meneses, Filipe; Faria, Brígida MónicaThe role of referees and the decisions they take have, in many cases, a decisive and direct influence on the course of a game. Unfortunately these decisions are not always correct. In a large amount of times, the mistakes are due to referee’s bad positioning on the field. So it is fundamental to develop a model that may determine the correct position for a soccer referee. For this research work, data with all the game participants’ positions in the field during the match has been used as its basis. The data included, players, ball and referees positions gathered by an automatic system. Referees with large experience in international competitions were used to obtain correct position knowledge. The achieved results, using a data mining approach, are very positive, both for predicting the assistant referee position, regardless of the team he is accompanying or the match with 77 % of success, as to predict the referee position with 82 % of success, in controlled game situations. In short, despite the limitations, the models are conclusive and can efficiently estimate the correct positioning of the referee in a soccer match.
- Intelligent wheelchair driving: a comparative study of cerebral palsy adults with distinct boccia experiencePublication . Faria, Brígida Mónica; Silva, Ana; Faias, Joaquim; Reis, Luís Paulo; Lau, NunoAn electronic wheelchair facilitates the autonomy and independence of a person, however specific cognitive, sensorial and perceptual skills are needed to conduct the assistive technology. These skills are also inherent to the sport boccia. Thus, the aim of this study is to understand the relationship between the experience of the participant in driving a wheelchair in relation to their autonomy and independence and also examine the practice of boccia in relation to the cognitive skills and performance in driving an intelligent wheelchair using a simulator. It was performed an evaluation of 28 participants, 6 of whom had no experience driving an electronic wheelchair and 22 had experience, 15 practice boccia and 13 did not practice this type of adapted sports. In the collection of data was tested three interfaces command of a smart wheelchair in a simulator. It was showed a good performance of the participants with experience in using electronic wheelchair and practitioners of boccia. It was also possible to observe that the autonomous and independent participants showed good results.
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