From: Application of data mining methods to improve screening for the risk of early gastric cancer
Variables | C5.0 DT | TAN | MLP | LR | Total |
---|---|---|---|---|---|
Occupations | 0.03 | 0.10 | 0.04 | 0.04 | 0.21 |
HP infection | 0.03 | 0.05 | 0.04 | 0.09 | 0.21 |
HP antibody | 0.03 | 0.02 | 0.04 | 0.11 | 0.20 |
Weight | 0.03 | 0.08 | 0.07 | 0.02 | 0.20 |
Drinking-water source | 0.03 | 0.04 | 0.03 | 0.06 | 0.16 |
Age | 0.03 | 0.03 | 0.06 | 0.03 | 0.15 |
Pepsinogen I | 0.03 | 0.02 | 0.08 | 0.02 | 0.15 |
Gastrin 17 | 0.04 | 0.02 | 0.07 | 0.02 | 0.15 |
Education levels | 0.03 | 0.02 | 0.03 | 0.05 | 0.13 |
Residences | 0.03 | 0.04 | 0.02 | 0.04 | 0.13 |
BMI | 0.03 | 0.03 | 0.04 | 0.02 | 0.12 |
PepsinogenI/II | 0.03 | 0.02 | 0.05 | 0.02 | 0.12 |
Languages | 0.03 | 0.02 | 0.03 | 0.04 | 0.12 |
Tea | 0.03 | 0.06 | 0.01 | 0.02 | 0.12 |
Drinking hot water | 0.03 | 0.03 | 0.02 | 0.04 | 0.12 |
Gastroscopy | 0.03 | 0.03 | 0.03 | 0.03 | 0.12 |
High salt intake | 0.03 | 0.05 | 0.01 | 0.02 | 0.11 |
Abdominal pain | 0.03 | 0.03 | 0.02 | 0.03 | 0.11 |
Hypertension | 0.03 | 0.03 | 0.03 | 0.02 | 0.11 |
Hyperlipidemia | 0.03 | 0.03 | 0.03 | 0.02 | 0.11 |
Smoking | 0.03 | 0.03 | 0.02 | 0.02 | 0.10 |
Heartburn | 0.03 | 0.02 | 0.03 | 0.02 | 0.10 |
Pepsinogen II | 0.03 | 0.02 | 0.03 | 0.02 | 0.10 |
Fruit | 0.03 | 0.02 | 0.02 | 0.02 | 0.09 |
Acid reflux | 0.03 | 0.02 | 0.02 | 0.02 | 0.09 |
Postprandial distress | 0.02 | 0.02 | 0.03 | 0.02 | 0.09 |
Speed of eating | 0.03 | 0.03 | 0.02 | 0.01 | 0.09 |
Abdominal distension | 0.03 | 0.01 | 0.02 | 0.03 | 0.09 |
Drinking | 0.03 | 0.02 | 0.01 | 0.02 | 0.08 |
Sex | 0.03 | 0.02 | 0.01 | 0.01 | 0.07 |
Pickled foods | 0.03 | 0.01 | 0.01 | 0.02 | 0.07 |
Early satiety | 0.03 | 0.01 | 0.01 | 0.02 | 0.07 |
Belching | 0.03 | 0.01 | 0.01 | 0.01 | 0.06 |
No obvious symptom | 0.01 | 0.01 | 0.01 | 0.02 | 0.05 |