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Prediction of pre-eclampsia complicated by fetal growth restriction and its perinatal outcome based on an artificial neural network model.
Huang, Ke-Hua; Chen, Feng-Yi; Liu, Zhao-Zhen; Luo, Jin-Ying; Xu, Rong-Li; Jiang, Ling-Ling; Yan, Jian-Ying.
Afiliación
  • Huang KH; Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
  • Chen FY; Graduate School of Fujian Medical University, Fuzhou, China.
  • Liu ZZ; Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
  • Luo JY; Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
  • Xu RL; Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
  • Jiang LL; Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
  • Yan JY; Department of Obstetrics and Gynecology, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Front Physiol ; 13: 992040, 2022.
Article en En | MEDLINE | ID: mdl-36467685
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Physiol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Physiol Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza