Enhancing decision-making in tubal ectopic pregnancy using a machine learning approach to expectant management: a clinical article.

Journal: BMC pregnancy and childbirth
PMID: 39702186

Abstract

OBJECTIVE: To refine decision-making regarding expectant management for ectopic pregnancy (EP) using machine learning.

Authors

  • Liron Jurman
    Department of Obstetrics and Gynecology, Meir Medical Center, Kfar Saba, Israel.
  • Karin Brisker
    Microsoft Corporation, Herzliya, Israel.
  • Raz Ruach Hasdai
    Department of Obstetrics and Gynecology, Meir Medical Center, Kfar Saba, Israel.
  • Omer Weitzner
    Department of Obstetrics and Gynecology, Meir Medical Center, Kfar Saba, Israel.
  • Yair Daykan
    Department of Urogynaecology, Cork University Maternity Hospital, Cork, Ireland. yair.dykan@gmail.com.
  • Zvi Klein
    Department of Obstetrics and Gynecology, Meir Medical Center, Kfar Saba, Israel.
  • Ron Schonman
    Department of Obstetrics and Gynecology, Meir Medical Center, 59 Tchernichovsky St, Kfar Saba, Israel.
  • Yael Yagur
    Department of Obstetrics and Gynecology, Meir Medical Center, Kfar Saba, Israel. yaelyagur@gmail.com.

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