Thy-DAMP: deep artificial neural network model for prediction of thyroid cancer mortality.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PMID: 39174681

Abstract

PURPOSE: Despite the rising incidence of differentiated thyroid cancer (DTC), mortality rates have remained relatively low yet crucial for effective patient management. This study aims to develop a deep neural network capable of predicting mortality in patients with differentiated thyroid cancer.

Authors

  • Arnavaz Hajizadeh Barfejani
    Royal College of Surgeons in Ireland, Dublin, Ireland.
  • Mohammad Rahimi
    Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Mazandaran, Iran.
  • Hassan Safdari
    Department of Anesthesiology and Preioperative Medicine, Tufts Medical Center, Boston, USA.
  • Shahab Gholizadeh
    Chaloos Razi Hospital, Mazandaran, Iran.
  • Shiva Borzooei
    Department of Endocrinology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Ghodratollah Roshanaei
    Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Mitra Golparian
    Medical School, Hamadan University of Medical Sciences, Pajoohesh Blvd, Hamadan, Iran.
  • Aidin Tarokhian
    Medical School, Hamadan University of Medical Sciences, Pajoohesh Blvd, Hamadan, Iran. tarokhianaidin@gmail.com.

Keywords

External Resources

Popular Topics
Recent Journals