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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data.
Zielinski, Krystian; Pukszta, Sebastian; Mickiewicz, Malgorzata; Kotlarz, Marta; Wygocki, Piotr; Zielen, Marcin; Drzewiecka, Dominika; Drzyzga, Damian; Kloska, Anna; Jakóbkiewicz-Banecka, Joanna.
Afiliação
  • Zielinski K; INVICTA Research and Development Center, Sopot, Poland.
  • Pukszta S; Department of Biomedical Engineering, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Gdansk, Poland.
  • Mickiewicz M; INVICTA Research and Development Center, Sopot, Poland.
  • Kotlarz M; INVICTA Research and Development Center, Sopot, Poland.
  • Wygocki P; INVICTA Research and Development Center, Sopot, Poland.
  • Zielen M; Institute of Computer Science, Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw, Warsaw, Poland.
  • Drzewiecka D; MIM Solutions, Research and Development Center, Warsaw, Poland.
  • Drzyzga D; MIM Solutions, Research and Development Center, Warsaw, Poland.
  • Kloska A; INVICTA Research and Development Center, Sopot, Poland.
  • Jakóbkiewicz-Banecka J; INVICTA Research and Development Center, Sopot, Poland.
PLoS Comput Biol ; 19(4): e1011020, 2023 04.
Article em En | MEDLINE | ID: mdl-37104276
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Hormônio Antimülleriano / Folículo Ovariano Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Polônia
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Hormônio Antimülleriano / Folículo Ovariano Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Polônia