2019
DOI: 10.26452/ijrps.v10i3.1325
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Identification of Diabetics Mellitus using Iridology

Abstract: Diabetes is a general illness regularly contaminated in people. Numerous approaches to recognize diabetes, one of them is checking circulatory strain, however, along these lines isn't compelling, in light of the fact that it takes blood first and takes a ton of time. Iridology is a one-way investigation wellbeing dependent on the iris. In this manner, we need an apparatus used to recognize pancreatic harm as a sign of diabetes through iridology. TheBurden picture is the initial step to distinguish pancreatic o… Show more

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Cited by 2 publications
(3 citation statements)
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“…After localizing the iris, the image will be transformed into a rectangle form from a ring form to make it easier for analysis the image. This step is called normalization [9]. The technique that usually used to normalized the image is the rubber-sheet model.…”
Section: Normalizationmentioning
confidence: 99%
“…After localizing the iris, the image will be transformed into a rectangle form from a ring form to make it easier for analysis the image. This step is called normalization [9]. The technique that usually used to normalized the image is the rubber-sheet model.…”
Section: Normalizationmentioning
confidence: 99%
“…The gradient value (Figure 8) in this training process is 0.1029, mu value of 0.0001 and validation check 6 on the 7th epoch. This can indicate that the program can recognize the pattern well so that it has its validity value at 6 when the epoch expires to 7.…”
Section: System Testing Of Backpropagation Artificial Neural Networkmentioning
confidence: 99%
“…Therefore, this study will make the system of impaired detection of the body on the upper stomach with the method of backpropagation artificial neural network. The problems that can be diagnosed by iridology [5] are the body parts that are often affected by disorders, such as disorders of the liver [4] and pancreas organs [6,7]. This makes the disorder easily detected in the iris of the human eye.…”
Section: Introductionmentioning
confidence: 99%