pima: Pima Indians Diabetes Database.

Description Usage Format Details Source

Description

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

Usage

1

Format

A data frame with 768 rows and 9 variables:

pregnant

Number of times pregnant

glucose

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

bp

Diastolic blood pressure (mm Hg)

skin_thickness

Triceps skin fold thickness (mm)

insulin

2-Hour serum insulin (mu U/ml)

bmi

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

diabetes

Diabetes pedigree function

age

Age (years)

class

Class variable (0 or 1)

Details

Past Usage: 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.

The diagnostic, binary-valued variable investigated is whether the patient shows signs of diabetes according to World Health Organization criteria (i.e., if the 2 hour post-load plasma glucose was at least 200 mg/dl at any survey examination or if found during routine medical care). The population lives near Phoenix, Arizona, USA.

Results: Their ADAP algorithm makes a real-valued prediction between 0 and 1. This was transformed into a binary decision using a cutoff of 0.448. Using 576 training instances, the sensitivity and specificity of their algorithm was 76

Relevant Information: 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.

Source

https://archive.ics.uci.edu/ml/datasets/pima+indians+diabetes


subgroup.discovery documentation built on Feb. 4, 2020, 9:11 a.m.