Statlog (Heart)
This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Categorical, Real
# Instances
270
# Features
13
Dataset Information
Additional Information
Cost Matrix _______ abse pres absence 0 1 presence 5 0 where the rows represent the true values and the columns the predicted.
Has Missing Values?
No
Variables Table
Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
---|---|---|---|---|---|---|
age | Feature | Continuous | Age | no | ||
sex | Feature | Binary | Sex | no | ||
chest-pain | Feature | Categorical | chest pain type | no | ||
rest-bp | Feature | Continuous | resting blood pressure | no | ||
serum-chol | Feature | Continuous | serum cholesterol | mg/dl | no | |
fasting-blood-sugar | Feature | Binary | fasting blood sugar > 120 mg/dl | no | ||
electrocardiographic | Feature | Categorical | resting electrocardiographic results | no | ||
max-heart-rate | Feature | Continuous | maximum heart rate achieved | no | ||
angina | Feature | Binary | exercise induced anigna | no | ||
oldpeak | Feature | Continuous | oldpeak = ST depression induced by exercise relative to rest | no |
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Additional Variable Information
Attribute Information: ------------------------ -- 1. age -- 2. sex -- 3. chest pain type (4 values) -- 4. resting blood pressure -- 5. serum cholestoral in mg/dl -- 6. fasting blood sugar > 120 mg/dl -- 7. resting electrocardiographic results (values 0,1,2) -- 8. maximum heart rate achieved -- 9. exercise induced angina -- 10. oldpeak = ST depression induced by exercise relative to rest -- 11. the slope of the peak exercise ST segment -- 12. number of major vessels (0-3) colored by flourosopy -- 13. thal: 3 = normal; 6 = fixed defect; 7 = reversable defect Attributes types ----------------- Real: 1,4,5,8,10,12 Ordered:11, Binary: 2,6,9 Nominal:7,3,13 Variable to be predicted ------------------------ Absence (1) or presence (2) of heart disease
Dataset Files
File | Size |
---|---|
heart.dat | 16.1 KB |
heart.doc | 1.1 KB |
Index | 105 Bytes |
Papers Citing this Dataset
Sort by Year, desc
By Mario Aldape-Pérez, Antonio Alarcón-Paredes, Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Oscar Camacho-Nieto. 2018
Published in Sensors.
By Sapan Agarwal, Corey Hudson. 2017
Published in
By Huu Nguyen. 2017
Published in Computational intelligence and neuroscience.
By V. Anireh, EN Osegi. 2017
Published in ArXiv.
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Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset statlog_heart = fetch_ucirepo(id=145) # data (as pandas dataframes) X = statlog_heart.data.features y = statlog_heart.data.targets # metadata print(statlog_heart.metadata) # variable information print(statlog_heart.variables)
Statlog (Heart) [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C57303.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.