Table 1 Description of dataset.

From: Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases

Feature

Description

Data type

Values

ID

Unique identification number of patient

Numerical data

67, 68, 69…0.72940

Age (in years)

Age of patient

Numerical data

1, 2, 3…. 81,82

Gender

This attribute tells about gender

Categorical data

Male, Female

Hypertension

It tells whether the patient is hypertensive or not.

Numerical data

0,1

Heart_disease

This attribute gives information about heart disease

Numerical data

0,1

Ever_married

This attribute shows the marital status of the patient

Categorical data

Yes, No

Work_type

This feature gives information regarding the type of work

Categorical data

Private, Self-employed, Govt_job, children, Never_worked

Residence_type

It gives information regarding the residential area type

Categorical data

Urban, Rural

Average glucose level

It shows the average glucose level of the patient

Numerical data

55.12

BMI

This attribute denotes the body mass index

Numerical data

10.3, 16,17 .…0.97.6

Smoking_status

It represents the smoking condition of the patient

Categorical data

Formerly smoked, never smoked, smokes, unknown

Stroke

It indicates whether the patient has a stroke risk or not

Categorical data

0, 1