[Retracted] Personalized Liver Cancer Risk Prediction Using Big Data Analytics Techniques with Image Processing Segmentation

Table 2

Performance metrics.

	ACCU	SENS	SPECIFI	FPR	PPV	NPV
CT1	99.28919	100	99.27504	26.69522	73.30478	100
CT2	99.42793	100	99.41669	22.8866	77.1134	100
CT3	99.17108	100	99.15489	30.21232	69.78768	100
CT4	99.13311	100	99.1153	30.09321	69.90679	100
CT5	99.07229	100	99.05211	30.35376	69.64624	100
CT7	99.26252	100	99.24729	26.70654	73.29346	100
CT8	93.36848	100	99.35712	26.33125	73.66875	100
CT9	91.3963	100	99.38447	23.89629	76.10371	100
CT10	90.35506	100	99.34252	25.27013	74.72987	100
CT11	93.37441	100	99.36253	25.13465	74.86535	100
CT12	95.33381	100	99.32114	26.30273	73.69727	100
CT13	93.34468	100	99.33146	24.88874	75.11126	100
CT14	94.28268	100	99.269	27.70199	72.29801	100
CT15	90.29426	100	99.28084	27.43989	72.56011	100

∗ ACCU: accuracy; SENS: sensitivity; SPECIFI: specificity; FPR: false-positive rate; PPV: positive prediction value; NPV: negative prediction value; ROC: receiver operating characteristic.