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Table 5 Prediction performance of recalibrated lightgbm under CN220 guideline with different combinations of GV

From: Ensemble learning for the early prediction of neonatal jaundice with genetic features

Variables

AUC

F1-score

Precision

Specific GV

CRF

0.795 (0.761–830)

0.217 (0.171–0.261)

0.143 (0.113–0.171)

None

CRF + GV4

0.807 (0.779–841)

0.242 (0.195–0.286)

0.165 (0.132–0.194)

HMOX1 (1)

 rs2071749

UGT1A1 (3):

rs4148323, rs6717546, rs6719561

CRF + GV11

0.813 (0.781–0.847)

0.251 (0.198–0.298)

0.176 (0.141–0.207)

HMOX1 (3)

 (GT)n, rs9607267, rs2071749

UGT1A1 (8)

 rs887829, (TA)n, rs4148323, rs1018124, rs6717546, rs11563250, rs6719561, rs4663972

CRF + GV36

0.830 (0.802–0.826)

0.285 (0.229–0.333)

0.217 (0.173–0.252)

HMOX1 (4)

 rs2071746, (GT)n, rs9607267, rs2071749

UGT1A1 (9)

 rs4399719, rs887829, (TA)n, rs4148323, rs1018124, rs6717546, rs11563250, rs6719561, rs4663972

BLVRA (6)

 rs1181601, rs1181574, rs10486752, rs699512, rs17246016, rs589570

SLCO1B1 (17)

 rs4149013, rs10743408, rs3899743, rs981262, rs7138177, rs4149026, rs976754, rs4149034, rs12313639, rs2306283, rs4149044, rs4149056, rs4149057, rs4363657, rs4149076, rs12578392, rs4149085

  1. 95% CI is shown in parentheses