Estimation of whether or not the persons given information will have diabetes.

Barış TOKATLIOĞLU

Last update: Jan 20, 2022

Related tags

Hardware Diabetes-Feature-Engineering

Overview

Diabetes

Business Problem :

It is desired to develop a machine learning model that can predict whether people have diabetes when their characteristics are specified. You are expected to perform the necessary data analysis and feature engineering steps before developing the model.

The dataset is part of the large dataset held at the National Institutes of Diabetes-Digestive-Kidney Diseases in the USA. Data used for diabetes research on Pima Indian women aged 21 and over living in Phoenix, the 5th largest city of the State of Arizona in the USA.

The target variable is specified as "outcome"; 1 indicates positive diabetes test result, 0 indicates negative.

Variables :

Pregnancies: Number of pregnancies

Glucose: 2-hour plasma glucose concentration in the oral glucose tolerance test

Blood Pressure: Blood Pressure (mm Hg)

SkinThickness: Skin Thickness

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

DiabetesPedigreeFunction: Function (2 hours plasma glucose concentration in oral glucose tolerance test)

BMI: Body mass index

Age: Age (years)

Outcome: Have the disease (1) or not (0)

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Estimation of whether or not the persons given information will have diabetes.

Related tags

Overview

Diabetes

Business Problem :

Variables :

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