Skip to content

Trying to predict heart disease based on metrics that a heart doctor would take

Notifications You must be signed in to change notification settings

kelandrin/Heart-Disease-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 

Repository files navigation

Heart-Disease-Prediction

Trying to predict heart disease based on metrics that a heart doctor would take.

  -- 1. age       
  -- 2. Sex

Male = 1

  -- 3. chest pain type  (4 values)(Cp)

-- Value 1: typical angina -- Value 2: atypical angina -- Value 3: non-anginal pain -- Value 4: asymptomatic

  -- 4. resting blood pressure (Trestbps) 

in mmhg

  -- 5. serum cholestoral in mg/dl (chol)

in mg/dl

  -- 6. fasting blood sugar > 120 mg/dl (fbs)      
  -- 7. resting electrocardiographic results  (values 0,1,2) (restecg)

-- 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. maximum heart rate achieved (maxhr) 
  -- 9. exercise induced angina (exang)

1 yes 0 no

  -- 10. oldpeak = ST depression induced by exercise relative to rest

ST depression refers to a finding on an electrocardiogram,[1][2] wherein the trace in the ST segment is abnormally low below the baseline.

  -- 11. the slope of the peak exercise ST segment (slope)

-- Value 1: upsloping -- Value 2: flat -- Value 3: downsloping

  -- 12. number of major vessels (0-3) colored by flourosopy (ca)        
  -- 13.  thal: 3 = normal; 6 = fixed defect; 7 = reversable defect 

About

Trying to predict heart disease based on metrics that a heart doctor would take

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published