Header menu link for other important links
Risk level prediction of diabetic retinopathy using adaptive neuro fuzzy inference system
Published in IAEME Publication
Volume: 8
Issue: 12
Pages: 623 - 632
The most common cause of visual impairment which affects about twenty five thousand patients is diabetic retinopathy. Adaptive neuro fuzzy system was used to create a rule base for fuzzy system. The fuzzy system is then used to find out the risk level of the diabetic retinopathy that the patient has. The dataset was taken from Diabetic Retinopathy Study (DRS). The accuracy, specificity and sensitivity found in this study were 92.9%, 71.4% and 97% respectively. © IAEME Publication.
About the journal
JournalInternational Journal of Civil Engineering and Technology
PublisherIAEME Publication