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 NameRoleTypeDemographicDescriptionUnitsMissing Values
ageFeatureContinuousAgeno
sexFeatureBinarySexno
chest-painFeatureCategoricalchest pain typeno
rest-bpFeatureContinuousresting blood pressureno
serum-cholFeatureContinuousserum cholesterolmg/dlno
fasting-blood-sugarFeatureBinaryfasting blood sugar > 120 mg/dlno
electrocardiographicFeatureCategoricalresting electrocardiographic resultsno
max-heart-rateFeatureContinuousmaximum heart rate achievedno
anginaFeatureBinaryexercise induced anignano
oldpeakFeatureContinuousoldpeak = ST depression induced by exercise relative to restno

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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

Papers Citing this Dataset

An Associative Memory Approach to Healthcare Monitoring and Decision Making

By Mario Aldape-Pérez, Antonio Alarcón-Paredes, Cornelio Yáñez-Márquez, Itzamá López-Yáñez, Oscar Camacho-Nieto. 2018

Published in Sensors.

Probability Series Expansion Classifier that is Interpretable by Design

By Sapan Agarwal, Corey Hudson. 2017

Published in

XYZ Privacy

By Josh Joy, Dylan Gray, Ciaran McGoldrick, Mario Gerla. 2017

Published in ArXiv.

Clustering Categorical Data Using Community Detection Techniques

By Huu Nguyen. 2017

Published in Computational intelligence and neuroscience.

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