Table 1 The details of dataset used in this work
From: Leveraging hybrid biomarkers in clinical endpoint prediction
| Dataset characteristics | No | (%) |
|---|---|---|
| Total patients | 211 | 100 |
| Incomplete records | 50 | 24 |
| Complete records | 161 | 76 |
| Internal features present | 68 | 42 |
| I) Air Bronchogram | 24 | 35 |
| II) Cavitation | 15 | 22 |
| III) Cysts | 4 | 6 |
| IV) Reticulation | 5 | 7 |
| V) Mix of above | 20 | 29 |
| Internal features absent | 91 | 58 |
| Gender | ||
| Male | (48/68) | 71 |
| Female | (20/68) | 29 |
| Age | ||
| ≤ 70 | (36/68) | 53 |
| > 70 | (32/68) | 47 |
| Pathological staging | ||
| Primary tumor T | ||
| I | (30/68) | 44 |
| II | (25/68) | 37 |
| III | (9/68) | 13 |
| IV | (4/68) | 6 |
| Lymph node N | ||
| 0 | (56/68) | 82 |
| 1 | (4/68) | 6 |
| 2 | (8/68) | 2 |
| 3 | 0 | 0 |
| Metastasis M | ||
| 0 | (66/68) | 97 |
| 1 | (2/68) | 3 |
| Histology | ||
| Squamous cell | (10/68) | 15 |
| Non-Squamous cell | (58/68) | 85 |
| 5-year overall survival | ||
| Survived | (23/68) | 34 |
| Expired | (45/68) | 66 |