CRITICAL APPRAISAL OF MACHINE LEARNING PROGNOSTIC MODELS FOR ACUTE PANCREATITIS: A SYSTEMATIC REVIEW

被引：0
|
作者：
Lahooti, Ila
Critelli, Brian
Hassan, Amier
Lahooti, Ali
Matzko, Nathan
Adams, Jan Niklas
Liss, Lukas
Quion, Justin
Restrepo, David
Nikahd, Melica
Culp, Stacey
Noh, Lydia
Park, Jun Sung
Tong, Kathleen
Akshintala, Venkata S.
Windsor, John A.
Mull, Nikhil K.
Papachristou, Georgios
Krishna, Somashekar G.
Han, Samuel
Ramsey, Mitchell L.
Hart, Phil A.
Celi, Leo Anthony
Lee, Peter
机构：
来源：
GASTROENTEROLOGY | 2024年 / 166卷 / 05期
关键词：
D O I：
暂无
中图分类号：
R57 [消化系及腹部疾病];
学科分类号：
摘要：
1233
引用
收藏
页码：S286 / S286
页数：1
相关论文
共 50 条
  • [21] Prediction models for acute kidney injury following liver transplantation: A systematic review and critical appraisal
    Huang, Jingying
    Chen, Jiaojiao
    Yang, Jin
    Han, Mengbo
    Xue, Zihao
    Wang, Yina
    Xu, Miaomiao
    Qi, Haiou
    Wang, Yuting
    INTENSIVE AND CRITICAL CARE NURSING, 2025, 86
  • [22] Machine learning predictive models in neurosurgery: an appraisal based on the TRIPOD guidelines. Systematic review
    Warman, Anmol
    Kalluri, Anita L.
    Azad, Tej D.
    NEUROSURGICAL FOCUS, 2023, 54 (06)
  • [23] Prediction models for prognosis of influenza: a systematic review and critical appraisal
    Sun, Yao
    Zhou, Yiwu
    Zhang, Shu
    SIGNA VITAE, 2021, 17 (05) : 18 - 29
  • [24] Prognostic role of suPAR in acute pancreatitis: A protocol for systematic review
    Rehan, Syeda Tayyaba
    Imran, Laiba
    Eqbal, Farea
    Khan, Zayeema
    Nashwan, Abdulqadir J.
    Asghar, Muhammad Sohaib
    MEDICINE, 2024, 103 (26) : e37064
  • [25] Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review
    Xu, Zidu
    Scharp, Danielle
    Hobensek, Mollie
    Ye, Jiancheng
    Zou, Jungang
    Ding, Sirui
    Shang, Jingjing
    Topaz, Maxim
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2024,
  • [26] Social determinants of health in prognostic machine learning models for orthopaedic outcomes: A systematic review
    Lans, Amanda
    Kanbier, Laura N.
    Bernstein, David N.
    Groot, Olivier Q.
    Ogink, Paul T.
    Tobert, Daniel G.
    Verlaan, Jorrit-Jan
    Schwab, Joseph H.
    JOURNAL OF EVALUATION IN CLINICAL PRACTICE, 2023, 29 (02) : 292 - 299
  • [27] Risk of bias of prognostic models developed using machine learning: a systematic review in oncology
    Dhiman, Paula
    Ma, Jie
    Navarro, Constanza L. Andaur
    Speich, Benjamin
    Bullock, Garrett
    Damen, Johanna A. A.
    Hooft, Lotty
    Kirtley, Shona
    Riley, Richard D.
    Van Calster, Ben
    Moons, Karel G. M.
    Collins, Gary S.
    DIAGNOSTIC AND PROGNOSTIC RESEARCH, 2022, 6 (01)
  • [28] Predictive value of machine learning for the severity of acute pancreatitis: A systematic review and meta-analysis
    Qian, Rui
    Zhuang, Jiamei
    Xie, Jianjun
    Cheng, Honghui
    Ou, Haiya
    Lu, Xiang
    Ouyang, Zichen
    HELIYON, 2024, 10 (08)
  • [29] Prediction of the severity of acute pancreatitis using machine learning models
    Zhou, You
    Han, Fei
    Shi, Xiao-Lei
    Zhang, Jun-Xian
    Li, Guang-Yao
    Yuan, Chen-Chen
    Lu, Guo-Tao
    Hu, Liang-Hao
    Pan, Jia-Jia
    Xiao, Wei-Ming
    Yao, Guang-Huai
    POSTGRADUATE MEDICINE, 2022, 134 (07) : 703 - 710
  • [30] O1 Using Machine Learning to predict the Severity of Acute Pancreatitis: A Systematic Review
    Nadeem, Zain
    Yau, Christopher
    Chan, Anthony
    BJS-BRITISH JOURNAL OF SURGERY, 2025, 112
12345