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...

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Bibliographic Details
Published in:Procedia computer science 2021, Vol.192, p.1750-1759
Main Authors: Antônio Gonzalez, Martinez Angel, Jair Abe, Minoro, Luiz Antonio, De Lima, Jonatas Santos, De Souza, Flávio Amadeu, Bernardini, Nilson Amado, De Souza, Liliam Sayuri, Sakamoto
Format: Article
Language:English
Subjects:
artificial intelligence
artificial paraconsistent neurons
deep learning paraconsistent
paraconsistent logic
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Summary: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.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2021.09.294