| stroke_classification {MLDataR} | R Documentation |
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 hutsons-hacks@outlook.com, Apr-2022.