A Case Based Methodology for Problem Solving aiming at Knee Osteoarthritis Detection

Knee osteoarthritis is the most common type of arthritis and a major cause of impaired mobility and disability for the ageing populations. Therefore, due to the increasing prevalence of the malady, it is expected that clinical and scientific practices had to be set in order to detect the problem in its early stages. Thus, this work will be focused on the improvement of methodologies for problem solving aiming at the development of Artificial Intelligence based decision support system to detect knee osteoarthritis. The framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a Case Based approach to computing that caters for the handling of incomplete, unknown, or even self-contradictory information.

Screening a Case Base for Stroke Disease Detection

Stroke stands for one of the most frequent causes of death, without distinguishing age or genders. Despite representing an expressive mortality fig-ure, the disease also causes long-term disabilities with a huge recovery time, which goes in parallel with costs. However, stroke and health diseases may also be prevented considering illness evidence. Therefore, the present work will start with the development of a decision support system to assess stroke risk, centered on a formal framework based on Logic Programming for knowledge rep-resentation and reasoning, complemented with a Case Based Reasoning (CBR) approach to computing. Indeed, and in order to target practically the CBR cycle, a normalization and an optimization phases were introduced, and clustering methods were used, then reducing the search space and enhancing the cases re-trieval one. On the other hand, and aiming at an improvement of the CBR theo-retical basis, the predicates` attributes were normalized to the interval 0…1, and the extensions of the predicates that match the universe of discourse were re-written, and set not only in terms of an evaluation of its Quality-of-Information (QoI), but also in terms of an assessment of a Degree-of-Confidence (DoC), a measure of one`s confidence that they fit into a given interval, taking into account their domains, i.e., each predicate attribute will be given in terms of a pair (QoI, DoC), a simple and elegant way to represent data or knowledge of the type incomplete, self-contradictory, or even unknown.

A Case-Based Approach to Nosocomial Infection Detection

The nosocomial infections are a growing concern because they affect a large number of people and they increase the admission time in healthcare facilities. Additionally, its diagnosis is very tricky, requiring multiple medical exams. So, this work is focused on the development of a clinical decision support system to prevent these events from happening. The proposed solution is unique once it caters for the explicit treatment of incomplete, unknown, or even contradictory information under a logic programming basis, that to our knowledge is something that happens for the first time.

Early Modern Trading Networks in Europe. Cooperation and the case of Simon Ruiz.

In the early modern period, trade became a truly global phenomenon. The logistics, financial and organizational complexity associated with it increased in order to connect distant geographies and merchants from different backgrounds. How did these merchants prevent their partners from dishonesty in a time where formal institutions and legislation did not traverse these different worlds? This book studies the mechanisms and criteria of cooperation in early modern trading networks. It uses an interdisciplinary approach, through the case study of a Castilian long-distance merchant of the sixteenth century, Simon Ruiz, who traded within the limits of the Portuguese and Spanish overseas empires. Early Modern Trading Networks in Europe discusses the importance of reciprocity mechanisms, trust and reputation in the context of early modern business relations, using network analysis methodology, combining quantitative data with qualitative information. It considers how cooperation and prevention could simultaneously create a business relationship, and describes the mechanisms of control, policing and punishment used to avoid opportunism and deception among a group of business partners. Using bills of exchange and correspondence from Simon Ruiz’s private archive, it charts the evolution of this business network through time, debating which criteria should be included or excluded from business networks, as well as the emergence of standards. This book intends to put forward a new approach to early modern trade which focuses on individuals interacting in self-organized structures, rather than on states or empires. It shows how indirect reciprocity was much more frequent than direct reciprocity among early modern merchants and how informal norms, like ostracism or signaling, helped to prevent defection and deception in an effective way.