PANN Component for Use in Pattern Recognition in Medical Diagnostics Decision-Making.

In the most varied specialties in the health hospital field, health professionals constantly need the main activity to make decisions in a timely manner and usually do so only in view of the data collected in clinical examinations. This has been the main source to define in an assertive way even in increasingly complex scenarios, notably in pathologies resulting from cancer cells. In this article, there is the possibility to present medical specialists with new aid to complement with inputs that add to their final decision-making. For this, the objective is to use the concepts of artificial intelligence applied in artificial neural networks and propose the use of paraconsistent logic architected in components of paraconsistent artificial neural networks (PANN) to support specialists in decision-making.