datasetposted on 18.07.2019 by roohallah alizadehsani
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
The Z-Alizadeh Sani dataset contains the records of 303 patients, each of which have 54 features.The features are arranged in four groups: demographic, symptom and examination, ECG, and laboratory and echo features.Each patient could be in two possible categories CAD or Normal. A patient is categorized as CAD, if his/her diameter narrowing is greater than or equal to 50%, and otherwise as Normal .