Development and validation of prediction models for coexisting adnexa malignancy in patients with endometrial cancer using machine learning algorithm: A population-based cohort study.

被引：0
|
作者：
Wang, Qiannan [1 ]
Song, Kun [1 ]
机构：
[1] Shandong Univ, Qilu Hosp, Jinan, Peoples R China
来源：
JOURNAL OF CLINICAL ONCOLOGY | 2023年 / 41卷 / 16期
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
e17617
引用
收藏
页数：1
相关论文
共 50 条
  • [21] Prediction of Lymph Node Metastasis in Breast Cancer by Gene Expression and Clinicopathological Models: Development and Validation within a Population-Based Cohort
    Dihge, Looket
    Vallon-Christersson, Johan
    Hegardt, Cecilia
    Saal, Lao H.
    Hakkinen, Jari
    Larsson, Christer
    Ehinger, Anna
    Loman, Niklas
    Malmberg, Martin
    Bendahl, Par-Ola
    Borg, Ake
    Staaf, Johan
    Ryden, Lisa
    CLINICAL CANCER RESEARCH, 2019, 25 (21) : 6368 - 6381
  • [22] Development and validation of sex-specific hip fracture prediction models using electronic health records: a retrospective, population-based cohort study
    Li, Gloria Hoi-Yee
    Cheung, Ching -Lung
    Tan, Kathryn Choon-Beng
    Kung, Annie Wai-Chee
    Kwok, Timothy Chi-Yui
    Lau, Wallis Cheuk-Yin
    Wong, Janus Siu-Him
    Hsu, Warrington W. Q.
    Fang, Christian
    Wong, Ian Chi-Kei
    ECLINICALMEDICINE, 2023, 58
  • [23] Risk Assessment of Liver Metastasis in Pancreatic Cancer Patients Using Multiple Models Based on Machine Learning: A Large Population-Based Study
    Li, Qinggang
    Bai, Lu
    Xing, Jiyuan
    Liu, Xiaorui
    Liu, Dan
    Hu, Xiaobo
    DISEASE MARKERS, 2022, 2022
  • [24] Trends of Second Primary Malignancy in Patients with Thyroid Cancer: A Population-Based Cohort Study in Israel
    Izkhakov, Elena
    Barchana, Micha
    Liphshitz, Irena
    Silverman, Barbara G.
    Stern, Naftali
    Keinan-Boker, Lital
    THYROID, 2017, 27 (06) : 793 - 801
  • [25] Development and validation of models for predicting the overall survival and cancer-specific survival of patients with primary vaginal cancer: A population-based retrospective cohort study
    Zhou, Wei-Li
    Yue, Yang-Yang
    FRONTIERS IN MEDICINE, 2022, 9
  • [26] Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study
    Zhou, Zheng
    Pu, Jinxian
    Wei, Xuedong
    Huang, Yuhua
    Lin, Yuxin
    Wang, Liangliang
    TRANSLATIONAL ANDROLOGY AND UROLOGY, 2022, : 1325 - 1335
  • [27] Development of prediction models for liver metastasis in colorectal cancer based on machine learning: a population-level study
    Xing, Yuncan
    Yu, Guanhua
    Jiang, Zheng
    Wang, Zheng
    TRANSLATIONAL CANCER RESEARCH, 2024, 13 (11)
  • [28] Disparities in the survival of endometrial cancer patients in a public healthcare system: A population-based cohort study
    Helpman, Limor
    Pond, Gregory R.
    Elit, Laurie
    Anderson, Laura N.
    Kong, Iwa
    Schnarr, Kara
    Seow, Hsien
    GYNECOLOGIC ONCOLOGY, 2022, 167 (03) : 532 - 539
  • [29] From Infection to Malignancy: Tracing the Impact of Human Papillomavirus on Uterine Endometrial Cancer in a Nationwide Population-Based Cohort Study
    Wu, Pei-Ju
    Tsai, Stella Chin-Shaw
    Huang, Jing-Yang
    Lee, Maw-Sheng
    Wang, Po-Hui
    Lin, Frank Cheau-Feng
    VIRUSES-BASEL, 2023, 15 (12):
  • [30] Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study
    Liu, XiaoHuan
    Zhang, Weiyue
    Zhang, Qiao
    Chen, Long
    Zeng, TianShu
    Zhang, JiaoYue
    Min, Jie
    Tian, ShengHua
    Zhang, Hao
    Huang, Hantao
    Wang, Ping
    Hu, Xiang
    Chen, LuLu
    FRONTIERS IN ENDOCRINOLOGY, 2022, 13
12345