Prevision of Medical Diagnosis Based on Paraconsistent Annotated Logic
p. 288-297
Résumé
This paper shows a process of prevision of medical diapostic based on Paraconsistent Annotated Logic, PAL. Knowing the symptoms reported by the patient, applying the Para-Analyzer Algorithm (Abe & Da Silva Filho 2001), by the Baricenter Analysis Method (Carvalho 2002) we obtain the resultant certainty degree of each illness analyzed (Carvalho, Brunstein & Abe 2004). Looking for the highest value of these certainty degrees we find a sole result that allows to determine the illness with highest certainty degree. We can decide what is the illness with highest favorable evidence by means of the symptoms reported by the patient. This illness will be the prevision of medical diagnosis. It is observed that the method presented is destined to 'adequate' illness, i.e., simple but helpful in emergencies, for instance.
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Référence papier
Fábio Romeu de Carvalho, Israel Brunstein et Jair Minoro Abe, « Prevision of Medical Diagnosis Based on Paraconsistent Annotated Logic », CASYS, 18 | 2006, 288-297.
Référence électronique
Fábio Romeu de Carvalho, Israel Brunstein et Jair Minoro Abe, « Prevision of Medical Diagnosis Based on Paraconsistent Annotated Logic », CASYS [En ligne], 18 | 2006, mis en ligne le 01 August 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=2337
Auteurs
Fábio Romeu de Carvalho
Paulista University, UNIP, R. Dr. Bacelar, 1212, São Paulo, SP, CEP 04026-02, Brazil ; University of São Paulo, USP, Av. Prof. Almeida Prado, 531, São Paulo, SP, CEP 05508-900, Brazil
Israel Brunstein
University of São Paulo, USP, Av. Prof. Almeida Prado, 531, São Paulo, SP, CEP 05508-900, Brazil
Jair Minoro Abe
Paulista University, UNIP, R. Dr. Bacelar, 1212, São Paulo, SP, CEP 04026-02, Brazil