Systematic Framework to Predict Early-Stage Liver Carcinoma Using Hybrid of Feature Selection Techniques and Regression Techniques

Table 1

Illustration of the preprocessed dataset.

Identified parameters	Demographic and clinical values
Age	69
City	1
Area	1
Education	1
Marital Status	1
Occupation	3
Hobbies	3
Siblings	2
Weight	58
Height	158
Gender	0
Arthritis	0
Family History	0
Hereditary	0
Status	1
Blood Pressure	0
Diabetes	1
Smoking	0
Alcohol Consumption	0
Heart Disease/Attack	0
Osteoporosis	0
Medicine Intake	0
Jaundice	0
Vomiting	1
Nausea	1
Temperature	0
Liver Function Test	0
Asthma	0
White Stools	0
Eye Color	0
Cancer Patient	1
Pneumonia	0
Hepatitis Type	1
Chilling	0
Bronchitis	1
Cough	1
Weight Loss	1
Loss of Appetite	1
Back Pain	1
Sputum Color	0
Calcium Level	0
Obesity	1
Fatigue/Weakness	1
Chest Pain	1
Hemoglobin Level	1
Sputum Level Result	0.5