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Correlation model of maternal and infant health indicators ..:
, In:
2023 International Conference on Electronics and Devices, Computational Science (ICEDCS)
,
Duan, Banxiang
;
Tang, Shangchun
;
Qiu, Tianci
. - p. 740-747 , 2023
Link:
https://doi.org/10.1109/ICEDCS60513.2023.00143
RT T1 <cTitle>2023 International Conference on Electronics and Devices, Computational Science (ICEDCS)</cTitle>: T1 <Title>Correlation model of maternal and infant health indicators based on random forest and TOPSIS</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10361635&Exemplar=1&LAN=DE A1 Duan, Banxiang A1 Tang, Shangchun A1 Qiu, Tianci A1 Chen, Hongpei YR 2023 K1 Pediatrics K1 Analytical models K1 Correlation K1 Costs K1 Sensitivity K1 Scientific computing K1 Mental health K1 Spearman correlation K1 coefficient random forest K1 TOPSIS K1 linear programming K1 with minimum treatment cost SP 740 OP 747 LK http://dx.doi.org/https://doi.org/10.1109/ICEDCS60513.2023.00143 DO https://doi.org/10.1109/ICEDCS60513.2023.00143 SF ELIB - SuUB Bremen
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