Inferência baseada em regras de produção para o diagnóstico laboratorial da anemia

Abstract

Artificial intelligence is a technology that presents relevant applications in several areas. Soon after the emergence of this technology, its usefulness in the field of medicine stood out, culminating in notorious results regarding clinical process aid and long-term financial return. When dealing with the medical diagnostic procedure, the large number of variables can affect the decision process, causing differences in the opinions of the practitioners. There are many uncertainties regarding risk factors, therefore the diagnosis of the disease can be difficult even for specialists. Aiming in creating a tool to support the laboratory diagnosis of anemia, this project carried out a study that combined concepts in hematology with artificial intelligence under the approach of knowledge based systems to develop an inference system prototype that supports the process of diagnosis. This study also presents reports about the system development process. Consequently, it was possible to study anemia diagnosis and how to apply the acquired knowledge to the computational language and formal representation of the problem. As a result, it was possible to understand the stages which are part in a medical área knowledge based system development.