Choosing the right method


Dear all,

A frined of mine, who is ophtalmic surgeon needs to make
a study regarding factors affecting a disease.
He has got a dataset of appromimately 300 samples (patients),
with around 6 or 7 explanatory variables (quantitative or qualitative),
and one response variable which is the occuring of the disease.

The problem is that in the dataset the disease is quite rare so that
there are few cases of diseases.

What would be the best method in order to discriminate the populations.

We have been suggested : Artificial Neural Net, K nearest neighbors or
Decision tree.

Thank you,

Eric

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