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Adaptive data-driven models to best predict the likelihood ..:
Grzegorczyk-Martin, Véronika
;
Roset, Julie
;
Di Pizio, Pierre
...
Journal of Assisted Reproduction and Genetics. 39 (2022) 8 - p. 1937-1949 , 2022
Link:
https://doi.org/10.1007/s10815-022-02547-4
RT Journal T1
Adaptive data-driven models to best predict the likelihood of live birth as the IVF cycle moves on and for each embryo transfer
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s10815-022-02547-4&Exemplar=1&LAN=DE A1 Grzegorczyk-Martin, Véronika A1 Roset, Julie A1 Di Pizio, Pierre A1 Fréour, Thomas A1 Barrière, Paul A1 Pouly, Jean Luc A1 Grynberg, Michael A1 Parneix, Isabelle A1 Avril, Catherine A1 Pacheco, Joe A1 Grzegorczyk, Tomasz M. PB Springer Science and Business Media LLC YR 2022 SN 1058-0468 SN 1573-7330 JF Journal of Assisted Reproduction and Genetics VO 39 IS 8 SP 1937 OP 1949 LK http://dx.doi.org/https://doi.org/10.1007/s10815-022-02547-4 DO https://doi.org/10.1007/s10815-022-02547-4 SF ELIB - SuUB Bremen
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