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Table 1 Meanings, measurement units, and intervals of each feature of the dataset

From: Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

Feature

Explanation

Measurement

Range

Age

Age of the patient

Years

[40,..., 95]

Anaemia

Decrease of red blood cells or hemoglobin

Boolean

0, 1

High blood pressure

If a patient has hypertension

Boolean

0, 1

Creatinine phosphokinase

Level of the CPK enzyme in the blood

mcg/L

[23,..., 7861]

(CPK)

   

Diabetes

If the patient has diabetes

Boolean

0, 1

Ejection fraction

Percentage of blood leaving

Percentage

[14,..., 80]

 

the heart at each contraction

  

Sex

Woman or man

Binary

0, 1

Platelets

Platelets in the blood

kiloplatelets/mL

[25.01,..., 850.00]

Serum creatinine

Level of creatinine in the blood

mg/dL

[0.50,..., 9.40]

Serum sodium

Level of sodium in the blood

mEq/L

[114,..., 148]

Smoking

If the patient smokes

Boolean

0, 1

Time

Follow-up period

Days

[4,...,285]

(target) death event

If the patient died during the follow-up period

Boolean

0, 1

  1. mcg/L: micrograms per liter. mL: microliter. mEq/L: milliequivalents per litre