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Table 1 Dataset Description (Cohort Characteristics)

From: On the interpretability of machine learning-based model for predicting hypertension

Age49+/− 12
Gender
 Male12,694 (55%)
 Female10,401 (45%)
Race
 Black4694 (20%)
 Other18401 (80%)
Reason for Test
 Chest Pain12581 (54%)
 Shortness of Breath1956 (8%)
 Pre-Operation255 (1%)
 Known Coronary Artery Disease524 (2%)
 Rule out Ischemia2286 (10%)
 Abnormal prior test1004 (4%)
Stress
 Peak METS (Mean +/− SD)10.2 +/− 2.79
 Resting Systolic Blood Pressure (Mean +/− SD)124 +/− 17
 Resting Diastolic Blood Pressure (Mean +/− SD)79 +/− 10
 Resting Heart rate (Mean +/− SD) beat per minute (bpm)73 +/− 12
 Peak Diastolic Blood Pressure (Mean +/− SD)82 +/− 13
 Peak Heart Rate (Mean +/− SD) beat per minute (bpm)159 +/− 17
Past Medical History
 Diabetes1887 (8%)
 History of Smoking9,518 (41%)
 Family History11,865 (51%)
 History of Hyperlipidemia7,769 (34%)
 History of Coronary Artery Bypass Graft314 (1%)