Waiting Time Screening in Diagnostic Medical Imaging - A Case-Based View

Due to the high standards expected from diagnostic medical imaging, the analysis of information regarding waiting lists via different information systems is of utmost importance. Such analysis, on the one hand, may improve the diagnostic quality and, on the other hand, may lead to the reduction of waiting times, with the concomitant increase of the quality of services and the reduction of the inherent financial costs. Hence, the purpose of this study is to assess the waiting time in the delivery of diagnostic medical imaging services, like computed tomography and magnetic resonance imaging. Thereby, this work is focused on the development of a decision support system to assess waiting times in diagnostic medical imaging with recourse to operational data of selected attributes extracted from distinct information systems. The computational framework is built on top of a Logic Programming Case-base Reasoning approach to Knowledge Representation and Reasoning that caters for the handling of in-complete, unknown, or even self-contradictory information.

Chest Breadths to Predict Individuals' Age - A Case Based View

It is well known that rib cage dimensions depend on the gender and vary with the age of the individual. Under this setting it is therefore possible to assume that a computational approach to the problem may be thought out and, consequently, this work will focus on the development of an Artificial Intelligence grounded decision support system to predict individual’s age, based on such measurements. On the one hand, using some basic image processing techniques it were extracted such descriptions from chest X-rays (i.e., its maximum width and height). On the other hand, the computational framework was built on top of a Logic Programming Case Base approach to knowledge representation and reasoning, which caters for the handling of incomplete, unknown, or even contradictory information. Furthermore, clustering methods based on similarity analysis among cases were used to distinguish and aggregate collections of historical data in order to reduce the search space, therefore enhancing the cases retrieval and the overall computational process. The accuracy of the proposed model is satisfactory, close to 90%.

Prática de ensino supervisionada em educação pré-escolar e 1º ciclo do ensino básico: (Re)construindo saberes em ciências com as crianças

O presente relatório transparece o progresso de aprendizagem e reflexão realizado no âmbito da Prática de Ensino Supervisionada em Educação Pré-Escolar e no 1º Ciclo do Ensino Básico. Neste, evidenciou-se uma reflexão da prática educativa que teve como finalidade compreender de que maneira se poderão potenciar as aprendizagens das Ciências Naturais nas crianças. Para tal, destacam-se alguns objetivos que estiveram bastante presentes na dimensão investigativa, tais como a promoção de ambientes de aprendizagem na área das ciências físico-naturais tornando as crianças observadores ativos com competências para investigar, experimentar e aprender; a promoção de contextos de aprendizagem participativa e ativa, desafiadoras e motivantes; o conhecimento e compreensão dos conhecimentos prévios destas, refutando assim a sua expressão e dúvida através do questionamento; e por fim, a promoção de atitudes, competências de ação, competências metodológicas e competências de comunicação nas crianças em relação à aprendizagem de acontecimentos naturais. Assim sendo, a principal finalidade desta investigação-ação nos contextos onde se realizou foi compreender processos associados à (re)construção de conhecimentos com base nos saberes que as crianças já tinham, construindo eu própria saberes profissionais, através da minha própria ação, registada, analisada e fundamentada; ABSTRACT: The following report transpires the progress of learning and reflection that was accomplished within the Supervised Teaching Practice in Preschool Education and in Primary Education. In this, it showed a reflection of educational practice that aimed to understand how it may enhance the learning of Natural Sciences in children. For such, we highlighted a few goals that were very present in the research dimension, such as, promoting learning environments in the area of physical and natural sciences, making children active observers with powers to investigate, experiment and learn; promoting ways of participation and active learning, challenging and motivating; knowledge and understanding of prior knowledge of these, thus disproving your expression and doubt through questioning; and finally, the promotion of attitudes, action skills, methodological skills and communication skills in children with regard to the learning of natural events. Therefore, the main purpose of this research-action, in ways where it was accomplished, was the reconstruction of knowledge based on the awareness that children already contained, building my own professional knowledge, through my own action that were recorded, analyzed and justified.

Impact of IS/IT Investments on Firm Performance: Does Stakeholder Orientation Matter?

This research project addresses a central question in the IS business value field: Does IS/IT investments impact positively on firm financial performance? IS/IT investments are seen as having an enormous potential impact on the competitive position of the firm, on its performance, and demand an active and motivated participation of several stakeholder groups. Actual research conducted in the Information Systems field, relating IS/IT investments with firm performance use transactions costs economics and resource-based view of the firm to try to explain and understand that relationship. However, it lacks to stress the importance of stakeholder management, as a moderator variable in that relationship. Stakeholder theory sees the firm as the hub centric to the spokes representing various stakeholders who were in essence equidistant to the firm, and survival and continuing profitability of the corporation depend upon its ability to fulfil its economic and social purpose, which is to create and distribute wealth or value sufficient to ensure that each primary stakeholder group continues as part of the corporation’s stakeholder system. Stakeholder theory in its instrumental version, argues that if a firm pays attention to the stakes of all stakeholder groups (and not just shareholders), it will obtain higher levels of financial performance. With this premise in mind, the aim of this paper is to discuss and test the use of stakeholder theory in the IS business value stream of research, in order to achieve a better understanding of the impact of IS/IT investments on firm performance (moderated by stakeholder management). To achieve the expected impact from an IS/IT investment, it is argued that firms need a strong commitment from those stakeholder groups, which lead us to the need of a corporate “stakeholder orientation”. When firm financial performance is measured by returns on assets (ROA), returns on investments (ROI) and returns on sales (ROS), the results show that “stakeholder orientation” impact positively in the relation between IS/IT and firm performance, using a sample of Portuguese large companies.

Prediction of Length of Hospital Stay in Preterm Infants - A Case-Based Reasoning View

The length of stay of preterm infants in a neonatology service has become an issue of a growing concern, namely considering, on the one hand, the mothers and infants health conditions and, on the other hand, the scarce healthcare facilities own resources. Thus, a pro-active strategy for problem solving has to be put in place, either to improve the quality-of-service provided or to reduce the inherent financial costs. Therefore, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a Logic Programming approach to knowledge representation and reasoning, complemented with a case-based problem solving methodology to computing, that caters for the handling of incomplete, unknown, or even contradictory in-formation. The proposed model has been quite accurate in predicting the length of stay (overall accuracy of 84.9%) and by reducing the computational time with values around 21.3%.

A case-based reasoning view of thrombophilia risk

Thrombophilia stands for a genetic or an acquired tendency to hypercoagulable states that increase the risk of venous and arterial thromboses. Indeed, venous thromboembolism is often a chronic illness, mainly in deep venous thrombosis and pulmonary embolism, requiring lifelong prevention strategies. Therefore, it is crucial to identify the cause of the disease, the most appropriate treatment, the length of treatment or prevent a thrombotic recurrence. Thus, this work will focus on the development of a diagnosis decision support system in terms of a formal agenda built on a logic programming approach to knowledge representation and reasoning, complemented with a case-based approach to computing. The proposed model has been quite accurate in the assessment of thrombophilia predisposition risk, since the overall accuracy is higher than 90% and sensitivity ranging in the interval [86.5%, 88.1%]. The main strength of the proposed solution is the ability to deal explicitly with incomplete, unknown, or even self-contradictory information.