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1 Ergebnisse
1
Prediction of Emergency Cesarean Section Using Machine Lear..:
Wie, Jeong Ha
;
Lee, Se Jin
;
Choi, Sae Kyung
...
Life. 12 (2022) 4 - p. 604 , 2022
Link:
https://doi.org/10.3390/life12040604
RT Journal T1
Prediction of Emergency Cesarean Section Using Machine Learning Methods: Development and External Validation of a Nationwide Multicenter Dataset in Republic of Korea
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_life12040604&Exemplar=1&LAN=DE A1 Wie, Jeong Ha A1 Lee, Se Jin A1 Choi, Sae Kyung A1 Jo, Yun Sung A1 Hwang, Han Sung A1 Park, Mi Hye A1 Kim, Yeon Hee A1 Shin, Jae Eun A1 Kil, Ki Cheol A1 Kim, Su Mi A1 Choi, Bong Suk A1 Hong, Hanul A1 Seol, Hyun-Joo A1 Won, Hye-Sung A1 Ko, Hyun Sun A1 Na, Sunghun PB MDPI AG YR 2022 SN 2075-1729 JF Life VO 12 IS 4 SP 604 LK http://dx.doi.org/https://doi.org/10.3390/life12040604 DO https://doi.org/10.3390/life12040604 SF ELIB - SuUB Bremen
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