Interpretable machine learning for prostate biopsy: Cohort study

被引：0
|
作者：
Dai, J. [1 ]
Zhao, J. [2 ]
Shen, P. [3 ]
Zeng, H. [2 ]
机构：
[1] Sichuan Univ, West China Hosp, Urol, Chengdu, Peoples R China
[2] Sichuan Univ, West China Hosp, West China Sch Med, Urol, Chengdu, Peoples R China
[3] SCU Sichuan Univ, Urol Surg Dept, Huaxi Campus, Chengdu, Peoples R China
来源：
ANNALS OF ONCOLOGY | 2024年 / 35卷
关键词：
D O I：
10.1016/j.annonc.2024.10.383
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
364P
引用
收藏
页数：2
相关论文
共 50 条
  • [1] Interpretable machine learning for prostate biopsy: Cohort study.
    Dai, Jindong
    Zhao, Jinge
    Shen, Pengfei
    Zeng, Hao
    JOURNAL OF CLINICAL ONCOLOGY, 2025, 43 (5_SUPPL) : 333 - 333
  • [2] Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study
    Liu, Zheng
    Han, Na
    Su, Tao
    Ji, Yuelong
    Bao, Heling
    Zhou, Shuang
    Luo, Shusheng
    Wang, Hui
    Liu, Jue
    Wang, Hai-Jun
    FRONTIERS IN PEDIATRICS, 2022, 10
  • [3] Interpretable Machine Learning
    Chen V.
    Li J.
    Kim J.S.
    Plumb G.
    Talwalkar A.
    Queue, 2021, 19 (06): : 28 - 56
  • [4] Preoperative prediction of textbook outcome in intrahepatic cholangiocarcinoma by interpretable machine learning: A multicenter cohort study
    Huang, Ting-Feng
    Luo, Cong
    Guo, Luo-Bin
    Liu, Hong-Zhi
    Li, Jiang-Tao
    Lin, Qi-Zhu
    Fan, Rui-Lin
    Zhou, Wei-Ping
    Li, Jing-Dong
    Lin, Ke-Can
    Tang, Shi-Chuan
    Zeng, Yong-Yi
    WORLD JOURNAL OF GASTROENTEROLOGY, 2025, 31 (11)
  • [5] Interpretable machine learning assessment
    Han, Henry
    Wu, Yi
    Wang, Jiacun
    Han, Ashley
    NEUROCOMPUTING, 2023, 561
  • [6] Algorithms for Interpretable Machine Learning
    Rudin, Cynthia
    PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14), 2014, : 1519 - 1519
  • [7] Interpretable machine learning for genomics
    Watson, David S.
    HUMAN GENETICS, 2022, 141 (09) : 1499 - 1513
  • [8] Interpretable machine learning for genomics
    David S. Watson
    Human Genetics, 2022, 141 : 1499 - 1513
  • [9] Techniques for Interpretable Machine Learning
    Du, Mengnan
    Li, Ninghao
    Hu, Xia
    COMMUNICATIONS OF THE ACM, 2020, 63 (01) : 68 - 77
  • [10] Interpretable Machine Learning for TabPFN
    Rundel, David
    Kobialka, Julius
    von Crailsheim, Constantin
    Feurer, Matthias
    Nagler, Thomas
    Ruegamer, David
    EXPLAINABLE ARTIFICIAL INTELLIGENCE, PT II, XAI 2024, 2024, 2154 : 465 - 476
12345