Iris Diabetes Detection using SVM classifier

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Hazel Sialongo
Hazel Sialongo 2016-9-25
回答： Star Strider 2016-9-25
I want to detect diabetes by classifying it using SVM. How will I do that?
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John D'Errico
John D'Errico 2016-9-25
编辑：John D'Errico 2016-9-25
Ask your teacher. That is why they are there. Anyway, you were given the assignment, not us. As well, this is not even a MATLAB question. So do some reading. And get to work.

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Star Strider
Star Strider 2016-9-25
By the time patients with diabetes mellitus (DM) develop changes detectable by pupillomerty, they probably already know, since delayed pupillary reflexes are characteristic of advanced diabetic autonomic neuropathy. A brief PubMed search this morning returned several hundred citiations, of which a few of what appear to me to be the more relevant are in the attached text file.
Consult with an ophthalmologist and diabetologist in your university, then a statistician, and decide then what data to gather and how to gather it with the instrumentation available to you, then how best to classify your patients based on the data you gather. You will of course need other laboratory tests relevant to determining the severity of DM and specifically autonomic neuropathy, including heart rate variability, postural blood pressure changes, HbA1c, fasting glucose, renal function, and others.
I leave you to it!
Have fun!

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