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

Sakhr AlshwayyatDina Essam Abo-ElnourTala Yaser DabashTala Abdulsalam AlshwayyatMarah AlabbasiMustafa AlshwayyatKinda Akram Irsheidat
Published in: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics (2024)
The present study offers a comprehensive approach for the treatment and prognosis assessment of patients with MSO. The machine learning models we have developed serve as a practical, personalized tool to aid in clinical decision-making processes.
Keyphrases
  • machine learning
  • decision making
  • artificial intelligence
  • big data
  • deep learning