Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine

Table 2

Division and number of training samples in each class.

Division of markers	Number of samples
	29	89
	Recurrence within 1 year	Nonrecurrence within 1 year
ALB > 3.5	15	60
ALB 3.5	14	29
Tumor number × tumor size < 4	6	47
Tumor number × tumor size 4~9	11	29
Tumor number × tumor size > 9	12	13
vp+	10	18
vp−	19	71
ICG < 15	14	44
ICG 15	15	45
vv+	9	16
vv−	20	73
Number of platelets 10	16	70
Number of platelets 10	13	19
PT 80	18	67
PT 80	11	22
Bilirubin < 1	17	61
Bilirubin 1	12	28
Degree of differentiation non-por	25	79
Degree of differentiation por	4	10
Liver damage A	15	60
Liver damage B	14	29