Skip to main content
. 2022 Jan 22;4(3):100441. doi: 10.1016/j.jhepr.2022.100441

Table 3.

Parameters used to develop the machine learning models.

Parameters All
(N = 46)
Selected mode 1
(n = 36)
Selected mode 2
(n = 20)
Male sex
Age
Platelet
Albumin
Total bilirubin
ALT
AST
Alpha-foetoprotein
International normalized ratio
Creatinine
Gamma glutamyl transferase
Total cholesterol
HbA1c
Fasting glucose
HBV DNA
Positive HBeAg
Cirrhosis
Cardiovascular disease
Colorectal cancer
Lung cancers
Urinary/renal malignancies
Cervical cancer
Breast cancer
Lymphoma
Chronic kidney disease
Osteopenia
Osteoporosis
Diabetes mellitus
Hypertension
Anticoagulants
ACEI/ARB
Antiplatelet agents
Beta blockers
Histamine-2 receptor antagonist
Insulin
Immunosuppressant
Loop diuretics
Metformin
NSAID
Other lipid-lowering agents
Other oral hypoglycaemic agents
Proton pump inhibitor
Potassium sparing diuretics
Statins
Sulphonylurea
Thiazides

ACEI, angiotensin-converting-enzyme inhibitor; ALT, alanine aminotransferase; ARB, angiotensin receptor blocker; AST, aspartate aminotransferase; CTP, Child–Turcotte–Pugh; HbA1c, haemoglobin A1c.