Intrahepatic cholestasis of pregnancy: machine-learning algorithm to predict elevated bile acid based on clinical and laboratory data.

Journal: Archives of gynecology and obstetrics
PMID: 33608801

Abstract

PURPOSE: Applying machine-learning models to clinical and laboratory features of women with intrahepatic cholestasis of pregnancy (ICP) and creating algorithm to identify these patients without bile acid measurements.

Authors

  • Aula Asali
    Department of Obstetrics and Gynecology, Meir Medical Center, 59 Tchernichovsky St, Kfar Saba, Israel. aula_atamna@yahoo.com.
  • Dorit Ravid
    Department of Obstetrics and Gynecology, Meir Medical Center, 59 Tchernichovsky St, Kfar Saba, Israel.
  • Hila Shalev
    Technion-Israel Institute of Technology, 3200003, Haifa, Israel.
  • Liron David
    Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Eran Yogev
    Ben Gurion University of the Negev, Beersheba, Israel.
  • Sabina Sapunar Yogev
    Ben Gurion University of the Negev, Beersheba, Israel.
  • Ron Schonman
    Department of Obstetrics and Gynecology, Meir Medical Center, 59 Tchernichovsky St, Kfar Saba, Israel.
  • Tal Biron-Shental
    Department of Obstetrics and Gynecology, Meir Medical Center, 59 Tchernichovsky St, Kfar Saba, Israel.
  • Netanella Miller
    Department of Obstetrics and Gynecology, Meir Medical Center, 59 Tchernichovsky St, Kfar Saba, Israel.

Keywords

External Resources

Popular Topics
Recent Journals