Heart failure clinical records

Donated on 2/4/2020

This dataset contains the medical records of 299 patients who had heart failure, collected during their follow-up period, where each patient profile has 13 clinical features.

Dataset Characteristics

Multivariate

Subject Area

Health and Medicine

Associated Tasks

Classification, Regression, Clustering

Feature Type

Integer, Real

# Instances

299

# Features

12

Dataset Information

Additional Information

A detailed description of the dataset can be found in the Dataset section of the following paper: Davide Chicco, Giuseppe Jurman: "Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone". BMC Medical Informatics and Decision Making 20, 16 (2020). https://doi.org/10.1186/s12911-020-1023-5

Has Missing Values?

No

Introductory Paper

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

By D. Chicco, Giuseppe Jurman. 2020

Published in BMC Medical Informatics and Decision Making

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
ageFeatureIntegerAgeage of the patientyearsno
anaemiaFeatureBinarydecrease of red blood cells or hemoglobinno
creatinine_phosphokinaseFeatureIntegerlevel of the CPK enzyme in the bloodmcg/Lno
diabetesFeatureBinaryif the patient has diabetesno
ejection_fractionFeatureIntegerpercentage of blood leaving the heart at each contraction%no
high_blood_pressureFeatureBinaryif the patient has hypertensionno
plateletsFeatureContinuousplatelets in the bloodkiloplatelets/mLno
serum_creatinineFeatureContinuouslevel of serum creatinine in the bloodmg/dLno
serum_sodiumFeatureIntegerlevel of serum sodium in the bloodmEq/Lno
sexFeatureBinarySexwoman or manno

0 to 10 of 13

Additional Variable Information

Thirteen (13) clinical features: - age: age of the patient (years) - anaemia: decrease of red blood cells or hemoglobin (boolean) - creatinine phosphokinase (CPK): level of the CPK enzyme in the blood (mcg/L) - diabetes: if the patient has diabetes (boolean) - ejection fraction: percentage of blood leaving the heart at each contraction (percentage) - high blood pressure: if the patient has hypertension (boolean) - platelets: platelets in the blood (kiloplatelets/mL) - sex: woman or man (binary) - serum creatinine: level of serum creatinine in the blood (mg/dL) - serum sodium: level of serum sodium in the blood (mEq/L) - smoking: if the patient smokes or not (boolean) - time: follow-up period (days) - [target] death event: if the patient died during the follow-up period (boolean) For more information, please check Table 1, Table 2, and Table 3 of the following paper: Davide Chicco, Giuseppe Jurman: "Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone". BMC Medical Informatics and Decision Making 20, 16 (2020). https://doi.org/10.1186/s12911-020-1023-5

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Keywords

clinical medicine

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