Diagnostico Diferencial de Glaucoma Mediante el Enfoque Logico-Combinatorio de Reconocimiento de Patrones

摘要

Glaucoma is a set of ocular disorders that leads to optic's nerve damage. It is the main cause for irreversible blindness around the world. OMS estimates 37 million affected people, in 2020 will be 80 millions. Accurate diagnosis of glaucoma allows to initiate drug and surgical treatment to avoid sight lost. The aim of this paper is to design a method for differential diagnosis of glaucoma, using the logical combinatorial approach of pattern recognition. This method was tested using 58 cases of glaucoma, obtained from literature. Diagnosis efficiency was 90%.