Personalized approach to malignant struma ovarii: Insights from a web-based machine learning tool.

Journal: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
PMID: 39099297

Abstract

OBJECTIVES: Malignant struma ovarii (MSO) is a rare ovarian tumor characterized by mature thyroid tissue. The diverse symptoms and uncommon nature of MSO can create difficulties in its diagnosis and treatment. This study aimed to analyze data and use machine learning methods to understand the prognostic factors and potential management strategies for MSO.

Authors

  • Sakhr Alshwayyat
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Dina Essam Abo-Elnour
    Faculty of Medicine, Zagazig University, Zagazig, Egypt.
  • Tala Yaser Dabash
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Tala Abdulsalam Alshwayyat
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Marah Alabbasi
    Faculty of Medicine, Mutah University, Al-Karak, Jordan.
  • Mustafa Alshwayyat
    Faculty of Medicine, Jordan University of Science & Technology, Irbid, Jordan.
  • Kinda Akram Irsheidat
    Department of Obstetrics and Gynecology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.

Keywords

External Resources

Popular Topics
Recent Journals