Ovarian Cancer-Self Assessment: An Innovation for Early Detection and Risk Assessment of Ovarian Cancer.

Journal: Asian Pacific journal of cancer prevention : APJCP
Published Date: Aug 1, 2022

Abstract

OBJECTIVE: The modality to detect ovarian cancer at an early stage is very limited. Early diagnosis determines the prognosis. This study aimed to develop a risk assessment tool for early detection of ovarian cancer using artificial intelligence. To accomplish this, the presence of ten signs and symptoms reported by patients with ovarian cancer was assessed.

Authors

  • Siti Salima
    Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia.
  • Anita Rachmawati
    Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia.
  • Ali Budi Harsono
    Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia.
  • Febia Erfiandi
    Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia.
  • Hilman Fauzi
    Biomedical Engineering, Faculty of Electrical Engineering, Telkom University, Bandung, Indonesia.
  • Heti Prasekti
    Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia.
  • Rena Nurita
    Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Padjajaran, Bandung, Indonesia.

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