Baselight

Heart Attack

Heart Attack dataset

@kaggle.pritsheta_heart_attack

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About this Dataset

Heart Attack

This is a heart dataset.

You can perform classification on this dataset.

About DataSet There are 13 attributes: 1. Age: Age (in years) 2. Sex: gender (1 = male; 0 = female) 3.ChestPain: Chest Pain type -- 1: typical angina (all criteria present) -- 2: atypical angina (two of three criteria satisfied) -- 3: non-anginal pain (less than one criteria satisfied) -- 4: asymptomatic (none of the criteria are satisfied) 4. Restbps: Resting Blood pressure (in mmHg, upon admission to the hospital) 5. Chol: serum cholesterol in mg/dL 6. Fbs: fasting blood sugar > 120 mg/dL (likely to be diabetic) 1 = true; 0 = false 7. RestECG: Resting electrocardiogram results -- Value 0: normal -- Value 1: having ST-T wave abnormality (T wave inversions and/or ST elevation or depression of > 0.05 mV) -- Value 2: showing probable or definite left ventricular hypertrophy by Estes' criteria 8. MaxHR: Greatest number of beats per minute your heart can possibly reach during all-out strenuous exercise. 9.Exang: exercise induced angina (1 = yes; 0 = no) 10. Oldpeak: ST depression induced by exercise relative to rest (in mm, achieved by subtracting the lowest ST segment points during exercise and rest) 11. Slope: the slope of the peak exercise ST segment, ST-T abnormalities are considered to be a crucial indicator for identifying presence of ischaemia -- Value 1: upsloping -- Value 2: flat -- Value 3: downsloping 12.Ca: number of major vessels (0-3) colored by fluoroscopy. Major cardial vessels are as goes: aorta, superior vena cava, inferior vena cava, pulmonary artery (oxygen-poor blood --> lungs), pulmonary veins (oxygen-rich blood --> heart), and coronary arteries (supplies blood to heart tissue). 13. AHD: 0 = normal; 1 = fixed defect (heart tissue can't absorb thallium both under stress and in rest); 2 = reversible defect (heart tissue is unable to absorb thallium only under the exercise portion of the test) 14.AHD: 0 = no disease, 1 = disease

Tables

Heart Attack Data Set

@kaggle.pritsheta_heart_attack.heart_attack_data_set
  • 12.87 KB
  • 303 rows
  • 14 columns
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CREATE TABLE heart_attack_data_set (
  "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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