Considerations and prospects for validating a machine learning-based choledocholithiasis prediction model Reply

被引:0
|
作者
Steinway, Steven N. [1 ]
Caffo, Brian S. [2 ]
Akshintala, Venkata S. [1 ]
机构
[1] Johns Hopkins Med Inst, Div Gastroenterol & Hepatol, 600 N Wolfe St,Blalock 411, Baltimore, MD 21287 USA
[2] Johns Hopkins Bloomberg Sch Publ, Dept Biostat, Ctr Teaching & Learning, Hlth Ctr Teaching & Learning, Baltimore, MD USA
关键词
D O I
10.1055/a-2292-9187
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
引用
收藏
页码:554 / 554
页数:1
相关论文
共 50 条
  • [1] Considerations and prospects for validating a machine learning-based choledocholithiasis prediction model
    Chen, Dexin
    Zhai, Yaqi
    Li, Mingyang
    ENDOSCOPY, 2024, 56 (07) : 553 - 553
  • [2] Machine learning-based model for prediction of concrete strength
    Aswal, Vivek Singh
    Singh, B. K.
    Maheshwari, Rohit
    MULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN, 2025, 8 (01)
  • [3] Machine Learning-Based Model for Prediction of Outcomes in Acute Stroke
    Heo, JoonNyung
    Yoon, Jihoon G.
    Park, Hyungjong
    Kim, Young Dae
    Nam, Hyo Suk
    Heo, Ji Hoe
    STROKE, 2019, 50 (05) : 1263 - 1265
  • [4] Machine Learning-Based Aviation Meteorological Risk Prediction Model
    Miao, Shaohui
    Du, Jiaxing
    SPIN, 2025,
  • [5] Machine learning-based prediction model for the efficacy and safety of statins
    Xiong, Yu
    Liu, Xiaoyang
    Wang, Qing
    Zhao, Li
    Kong, Xudong
    Da, Chunhe
    Meng, Zuohuan
    Qu, Leilei
    Xia, Qinfang
    Liu, Lihong
    Li, Pengmei
    FRONTIERS IN PHARMACOLOGY, 2024, 15
  • [6] Explainable Machine Learning-Based Prediction Model for Diabetic Nephropathy
    Yin, Jing-Mei
    Li, Yang
    Xue, Jun-Tang
    Zong, Guo-Wei
    Fang, Zhong-Ze
    Zou, Lang
    JOURNAL OF DIABETES RESEARCH, 2024, 2024
  • [7] Machine learning-based prediction of transfusion
    Mitterecker, Andreas
    Hofmann, Axel
    Trentino, Kevin M.
    Lloyd, Adam
    Leahy, Michael F.
    Schwarzbauer, Karin
    Tschoellitsch, Thomas
    Boeck, Carl
    Hochreiter, Sepp
    Meier, Jens
    TRANSFUSION, 2020, 60 (09) : 1977 - 1986
  • [8] A ghost in the machine: is machine learning necessary for prediction of choledocholithiasis?
    Law, Ryan
    Perez-Miranda, Manuel
    ENDOSCOPY, 2024, 56 (03) : 172 - 173
  • [9] A machine learning-based choledocholithiasis prediction tool to improve ERCP decision making: a proof-of-concept study
    Steinway, Steven N.
    Tang, Bohao
    Telezing, Jeremy
    Ashok, Aditya
    Kamal, Ayesha
    Yu, Chung Yao
    Jagtap, Nitin
    Buxbaum, James L.
    Elmunzer, Joseph
    Wani, Sachin B.
    Khashab, Mouen A.
    Caffo, Brian S.
    Akshintala, Venkata S.
    ENDOSCOPY, 2024, 56 (03) : 165 - 171
  • [10] Machine learning-based prediction model and visual interpretation for prostate cancer
    Gang Chen
    Xuchao Dai
    Mengqi Zhang
    Zhujun Tian
    Xueke Jin
    Kun Mei
    Hong Huang
    Zhigang Wu
    BMC Urology, 23