Classifying Diabetes using Artificial Neural Networks

This dataset is used to predict whether or not a patient has diabetes, based on given features/diagnostic measurements.

Only female patients are considered with at least 21 years old of Pima Indian heritage.

Inputs:

Pregnancies: Number of times pregnant

GlucosePlasma: glucose concentration a 2 hours in an oral glucose tolerance test

BloodPressure: Diastolic blood pressure (mm Hg)

Skin: ThicknessTriceps skin fold thickness (mm)

Insulin: 2-Hour serum insulin (mu U/ml)

BMI: Body mass index (weight in kg/(height in m)^2)

DiabetesPedigreeFunction: Diabetes pedigree function

Age: Age (years)

Outputs:

Diabetes or no diabetes (0 or 1)

Acknowledgements Smith, J.W., Everhart, J.E., Dickson, W.C., Knowler, W.C., & Johannes, R.S. (1988). Using the ADAP learning algorithm to forecast the onset of diabetes mellitus. In Proceedings of the Symposium on Computer Applications and Medical Care (pp. 261—265). IEEE Computer Society Press.