Baselight

Heart Disease

Health care: Heart Disease data

@kaggle.data855_heart_disease

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About this Dataset

Heart Disease

Context
This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to
this date. The "goal" field refers to the presence of heart disease in the patient. It is integer-valued from 0 (no presence) to 4.

Acknowledgements
Creators:

Hungarian Institute of Cardiology. Budapest: Andras Janosi, M.D.
University Hospital, Zurich, Switzerland: William Steinbrunn, M.D.
University Hospital, Basel, Switzerland: Matthias Pfisterer, M.D.
V.A. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., PhD.
Donor:
David W. Aha (aha '@' ics.uci.edu) (714) 856-8779

Inspiration
Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0).

See if you can find any other trends in heart data to predict certain cardiovascular events or find any clear indications of heart health.

Tables

Heart

@kaggle.data855_heart_disease.heart
  • 13.18 kB
  • 303 rows
  • 14 columns
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CREATE TABLE heart (
  "age" BIGINT,
  "sex" BIGINT,
  "cp" BIGINT,
  "trestbps" BIGINT,
  "chol" BIGINT,
  "fbs" BIGINT,
  "restecg" BIGINT,
  "thalach" BIGINT,
  "exang" BIGINT,
  "oldpeak" DOUBLE,
  "slope" BIGINT,
  "ca" BIGINT,
  "thal" BIGINT,
  "target" BIGINT
);

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