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 |