Classifying the Mortality of People with Underlying Health Conditions Affected by COVID-19 Using Machine Learning Techniques

Table 1

Description of dataset attributes.

Attribute name	Type	Description
ID	Numeric	Row id
Agecat	Numeric	Patient’s age group
Sex	Nominal	Patient’s gender
Ethnicity3cat	Nominal	Patient’s ethnicity
Imd	Nominal	Indices of multiple deprivation (A measure of poverty)
Bmicat	Nominal	Patient’s BMI
Diabetes1	Nominal	Patient’s diabetes type 1 status—yes/no
Diabetes2	Nominal	Patient’s diabetes type 2 status—yes/no
Hypertension	Nominal	Hypertension status—yes/no
Cvd	Nominal	Chronic heart disease—yes/no
Asthma	Nominal	Asthma status—yes/no
Copd	Nominal	Chronic obstructive pulmonary disease—yes/no
Cancer	Nominal	Cancer status—yes/no
Renal disease	Nominal	Renal disease status—yes/no
ICU	Nominal	Whether the patient was admitted into the ICU—yes/no
Death30 days	Nominal	If patient died within 30 days of infection
Timeatrisk	Nominal	Duration of infection