Baselight

Diabetes Disease Updated Dataset

Diabetes Disease Dataset

@kaggle.jillanisofttech_diabetes_disease_updated_dataset

About this Dataset

Diabetes Disease Updated Dataset

Context

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective is to predict based on diagnostic measurements whether a patient has diabetes.

Content

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.

Pregnancies:

Number of times pregnant

Glucose:

Plasma glucose concentration a 2 hours in an oral glucose tolerance test

Blood pressure:

Diastolic blood pressure (mm Hg)

SkinThickness:

Triceps 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)
Outcome: Class variable (0 or 1)

Sources:

(a) Original owners: National Institute of Diabetes and Digestive and
Kidney Diseases
(b) Donor of database: Vincent Sigillito (vgs@aplcen.apl.jhu.edu)
Research Center, RMI Group Leader
Applied Physics Laboratory
The Johns Hopkins University
Johns Hopkins Road
Laurel, MD 20707
(301) 953-6231
(c) Date received: 9 May 1990

Past Usage:
Number of Instances: 768
Number of Attributes: 8 plus class
For Each Attribute: (all numeric-valued)
Number of times pregnant
Plasma glucose concentration a 2 hours in an oral glucose tolerance test
Diastolic blood pressure (mm Hg)
Triceps skinfold thickness (mm)
2-Hour serum insulin (mu U/ml)
Body mass index (weight in kg/(height in m)^2)
Diabetes pedigree function
Age (years)
Class variable (0 or 1)
Missing Attribute Values: Yes
Class Distribution: (class value 1 is interpreted as "tested positive for diabetes")

Share link

Anyone who has the link will be able to view this.