Table 1 Dataset Description (Cohort Characteristics)
From: On the interpretability of machine learning-based model for predicting hypertension
Age | 49+/− 12 |
|---|---|
Gender | |
 Male | 12,694 (55%) |
 Female | 10,401 (45%) |
Race | |
 Black | 4694 (20%) |
 Other | 18401 (80%) |
Reason for Test | |
 Chest Pain | 12581 (54%) |
 Shortness of Breath | 1956 (8%) |
 Pre-Operation | 255 (1%) |
 Known Coronary Artery Disease | 524 (2%) |
 Rule out Ischemia | 2286 (10%) |
 Abnormal prior test | 1004 (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 | |
 Diabetes | 1887 (8%) |
 History of Smoking | 9,518 (41%) |
 Family History | 11,865 (51%) |
 History of Hyperlipidemia | 7,769 (34%) |
 History of Coronary Artery Bypass Graft | 314 (1%) |