Predição do Diabetes em Mulheres Pima: Análise de Dados Médicos

Context This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases The objective of the dataset is to diagnostically predict whether or not a patient has diabetes based on certain diagnostic measurements included in the dataset Several constraints were placed on the selection of these instances from a larger database In particular all patients here are females at least 21 years old of Pima Indian heritage Content The datasets consists of several medical predictor variables and one target variable Outcome Pregnancies Number of times pregnant Glucose Plasma glucose concentration a 2 hours in an oral glucose tolerance test BloodPressure Diastolic blood pressure mm Hg SkinThickness Triceps skin fold thickness mm Insulin 2Hour serum insulin mu Uml BMI Body mass index weight in kgheight in m2 DiabetesPedigreeFunction Diabetes pedigree function Age Age years Outcome Class variable 0 or 1 Acknowledgements Smith JW Everhart JE Dickson WC Knowler WC Johannes RS 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 261265 IEEE Computer Society Press