Data
Heart_Failure_Prediction

Heart_Failure_Prediction

active ARFF Public Domain (CC0) Visibility: public Uploaded 05-05-2024 by Iwo Godzwon
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Description: This dataset, named "heart_failure_clinical_records.csv", consists of clinical records of patients with heart failure. It includes various attributes such as age, anaemia, creatinine phosphokinase levels, diabetes status, ejection fraction, high blood pressure presence, platelet count, serum creatinine levels, serum sodium levels, gender, smoking habits, follow-up time, and a binary indicator for death event. Attribute Description: - age: age of the patient - anaemia: presence of anaemia (0: no, 1: yes) - creatinine_phosphokinase: level of creatinine phosphokinase in the blood - diabetes: presence of diabetes (0: no, 1: yes) - ejection_fraction: percentage of blood leaving the heart at each contraction - high_blood_pressure: presence of high blood pressure (0: no, 1: yes) - platelets: platelet count in the blood - serum_creatinine: level of serum creatinine in the blood - serum_sodium: level of serum sodium in the blood - sex: gender of the patient (0: female, 1: male) - smoking: smoking status of the patient (0: no, 1: yes) - time: follow-up time - DEATH_EVENT: indicator of death occurence during the follow-up period (0: no, 1: yes) Use Case: This dataset can be used for analyzing the relationship between various clinical attributes and the occurrence of death events in patients with heart failure. It can help in predicting the risk factors associated with heart failure mortality.

13 features

agenumeric48 unique values
0 missing
anaemianumeric2 unique values
0 missing
creatinine_phosphokinasenumeric290 unique values
0 missing
diabetesnumeric2 unique values
0 missing
ejection_fractionnumeric17 unique values
0 missing
high_blood_pressurenumeric2 unique values
0 missing
plateletsnumeric203 unique values
0 missing
serum_creatininenumeric43 unique values
0 missing
serum_sodiumnumeric27 unique values
0 missing
sexnumeric2 unique values
0 missing
smokingnumeric2 unique values
0 missing
timenumeric155 unique values
0 missing
DEATH_EVENTnumeric2 unique values
0 missing

19 properties

5000
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
13
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.

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