Development and validation of a deep learning survival model for cervical adenocarcinoma patients.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: The aim was to develop a personalized survival prediction deep learning model for cervical adenocarcinoma patients and process personalized survival prediction.

Authors

  • Ruowen Li
    Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
  • Wenjie Qu
    Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Lixia District, Jinan, 250012, Shandong Province, China.
  • Qingqing Liu
    Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
  • Yilin Tan
    Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Lixia District, Jinan, 250012, Shandong Province, China.
  • Wenjing Zhang
    Department of Pharmacy, Shanghai Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
  • Yiping Hao
    Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Lixia District, Jinan, 250012, Shandong Province, China.
  • Nan Jiang
  • Zhonghao Mao
    Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Lixia District, Jinan, 250012, Shandong Province, China.
  • Jinwen Ye
    Cheeloo College of Medicine, Shandong University, No. 44 Wenhua West Road, Lixia District, Jinan, 250012, Shandong Province, China.
  • Jun Jiao
    Department of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
  • Qun Gao
    School of Information and Electronic Engineering, Shandong Technology and Business University, Yantai 264005, China.
  • Baoxia Cui
    Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan 250012, China.
  • Taotao Dong
    Department of Obstetrics and Gynecology Qilu Hospital Cheeloo College of Medicine Shandong University Jinan Shandong China.