A fuzzy-based methodology for the analysis of diabetic neuropathy

Authors:
Luigi Di Lascio;Antonio Gisolfi;Antonio Albunia;Giuseppe Galardi;Franco Meschi
Affiliations:
Dipartimento di Matematica e Informatica, Università di Salerno, Via Salvador Allende 64, 84081 Baronissi (SA) Italy;Dipartimento di Matematica e Informatica, Università di Salerno, Via Salvador Allende 64, 84081 Baronissi (SA) Italy;Dipartimento di Matematica e Informatica, Università di Salerno, Via Salvador Allende 64, 84081 Baronissi (SA) Italy;Neurophysiological Department, Istituto Scientifico San Raffaele, Via Olgettina 60, 20132 Milano, Italy;Pediatric Department, Istituto Scientifico San Raffaele, Via Olgettina 60, 20132 Milano, Italy
Venue:
Fuzzy Sets and Systems - Data bases and approximate reasoning
Year:
2002

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Abstract

A new model for the fuzzy-based analysis of diabetic neuropathy is illustrated, whose pathogenesis so far is not well known. The underlying algebraic structure is a commutative l-monoid, whose support is a set of classifications based on the concept of linguistic variable introduced by Zadeh. The analysis is carried out by means of patient's anagraphical and clinical data, e.g. age, sex, duration of the disease, insulinic needs, severity of diabetes, possible presence of complications. The results obtained by us are identical with medical diagnoses. Moreover, analyzing suitable relevance factors one gets reasonable information about the etiology of the disease, our results agree with most credited clinical hypotheses.