heart: Heart Disease Dataset.

Description Usage Format Source

Description

This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The "goal" field refers to the presence of heart disease in the patient. It is integer valued from 0 (no presence) to 4. Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0).

Usage

1

Format

A data frame with 303 rows and 13 variables:

age

age in years

sex

sex (1 = male; 0 = female)

cp

cp: chest pain type

trestbps

trestbps: resting blood pressure (in mm Hg on admission to the hospital)

chol

chol: serum cholestoral in mg/dl

fbs

fbs: (fasting blood sugar > 120 mg/dl) (1 = true; 0 = false)

restecg

restecg: resting electrocardiographic results

thalach

thalach: maximum heart rate achieved

exang

exang: exercise induced angina (1 = yes; 0 = no)

oldpeak

oldpeak = ST depression induced by exercise relative to rest

slope

slope: the slope of the peak exercise ST segment

ca

ca: number of major vessels (0-3) colored by flourosopy

thal

thal: 3 = normal; 6 = fixed defect; 7 = reversable defect

num

num: diagnosis of heart disease (angiographic disease status)

Source

https://archive.ics.uci.edu/ml/datasets/Heart+Disease


hhcartr documentation built on July 2, 2021, 9:06 a.m.