stroke_classification: Stroke Classification dataset

In MLDataR: Collection of Machine Learning Datasets for Supervised Machine Learning

Stroke Classification dataset

Description

This dataset has been obtained from a Stoke department within the NHS and is a traditional supervised ML classification dataset

Usage

stroke_classification

Format

A data frame with 5110 rows and 11 variables:

pat_id

unique patient identifier index

stroke

outcome variable as a flag - 1 for stroke and 0 for no stroke

gender

patient gender description

age

age of the patient

hypertension

binary flag to indicate whether patient has hypertension: https://www.nhs.uk/conditions/high-blood-pressure-hypertension/

heart_disease

binary flag to indicate whether patient has heart disease: 1 or no heart disease history: 0

work_related_stress

binary flag to indicate whether patient has history of work related stress

urban_residence

binary flag indicating whether patient lives in an urban area or not

avg_glucose_level

average blood glucose readings of the patient

bmi

body mass index of the patient: https://www.nhs.uk/live-well/healthy-weight/bmi-calculator/

smokes

binary flag to indicate if the patient smokes - 1 for current smoker and 0 for smoking cessation

Source

Prepared and compiled by Gary Hutson [e-mail], Apr-2022.

MLDataR documentation built on Oct. 3, 2022, 5:08 p.m.