CACS Forest uses a federated random forest to classify patients into their coronary artery calcification score value group, based on clinical parameters. A threshold can be specified to distinguish between values considered low risk (close to 0) and elevated risk.
calc.csvfile containing the samples- Columns:
kalk,birth_year,sex,height,weight,waist,bmi,chol,tri,hdl,ldl,hba - Sample files with synthetic data can be found in
sample_data/client*