69 A systematic review and meta-analysis of machine learning models in the prediction of adverse outcomes in peripheral arterial disease

被引:0
|
作者
Ravindhran, Bharadhwaj [1 ]
Ubhi, Laila [1 ]
Nazir, Shahani [1 ]
Pymer, Sean [1 ]
Smith, George [1 ]
Carradice, Daniel [1 ]
Torgerson, David [2 ]
Mitchell, Alex [2 ]
Chetter, Ian [1 ]
机构
[1] Hull York Med Sch, Kingston Upon Hull, England
[2] Univ York, York, England
来源
BJS-BRITISH JOURNAL OF SURGERY | 2025年 / 112卷
关键词
D O I
10.1093/bjs/znaf042.035
中图分类号
R61 [外科手术学];
学科分类号
摘要
znaf042.03
引用
收藏
页数:1
相关论文
共 50 条
  • [1] Machine learning prediction models for diabetic kidney disease: systematic review and meta-analysis
    Chen, Lianqin
    Shao, Xian
    Yu, Pei
    ENDOCRINE, 2024, 84 (03) : 890 - 902
  • [2] Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis
    Sajjadian, Mehri
    Lam, Raymond W.
    Milev, Roumen
    Rotzinger, Susan
    Frey, Benicio N.
    Soares, Claudio N.
    Parikh, Sagar V.
    Foster, Jane A.
    Turecki, Gustavo
    Muller, Daniel J.
    Strother, Stephen C.
    Farzan, Faranak
    Kennedy, Sidney H.
    Uher, Rudolf
    PSYCHOLOGICAL MEDICINE, 2021, 51 (16) : 2742 - 2751
  • [3] Systematic review and meta-analysis of the genetics of peripheral arterial disease
    Chaar, Cassius Iyad Ochoa
    Kim, Tanner
    Alameddine, Dana
    Dewan, Andrew
    Guzman, Raul
    Dardik, Alan
    Nardini, Holly K. Grossetta
    Wallach, Joshua D.
    Kullo, Iftikhar
    Murray, Michael
    JVS-VASCULAR SCIENCE, 2024, 5
  • [4] Homocysteine and Peripheral Arterial Disease: Systematic Review and Meta-analysis
    Khandanpour, N.
    Loke, Y. K.
    Meyer, F. J.
    Jennings, B.
    Armon, M. P.
    EUROPEAN JOURNAL OF VASCULAR AND ENDOVASCULAR SURGERY, 2009, 38 (03) : 316 - 322
  • [5] Machine Learning-Based Prediction Models for Delirium: A Systematic Review and Meta-Analysis
    Xie, Qi
    Wang, Xinglei
    Pei, Juhong
    Wu, Yinping
    Guo, Qiang
    Su, Yujie
    Yan, Hui
    Nan, Ruiling
    Chen, Haixia
    Dou, Xinman
    JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION, 2022, 23 (10) : 1655 - +
  • [6] Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta-analysis
    Penny-Dimri, Jahan C.
    Bergmeir, Christoph
    Perry, Luke
    Hayes, Linley
    Bellomo, Rinaldo
    Smith, Julian A.
    JOURNAL OF CARDIAC SURGERY, 2022, 37 (11) : 3838 - 3845
  • [7] Biomarkers and the Prediction of Adverse Outcomes in Preeclampsia A Systematic Review and Meta-analysis
    Lim, Sean
    Li, Wentao
    Kemper, Jessica
    Nguyen, Andrew
    Mol, Ben Willem
    Reddy, Maya
    OBSTETRICS AND GYNECOLOGY, 2021, 137 (01): : 72 - 81
  • [8] Machine learning-based prediction models for pressure injury: A systematic review and meta-analysis
    Pei, Juhong
    Guo, Xiaojing
    Tao, Hongxia
    Wei, Yuting
    Zhang, Hongyan
    Ma, Yuxia
    Han, Lin
    INTERNATIONAL WOUND JOURNAL, 2023, 20 (10) : 4328 - 4339
  • [9] Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis
    Chowdhury, Mohammad Ziaul Islam
    Naeem, Iffat
    Quan, Hude
    Leung, Alexander A.
    Sikdar, Khokan C.
    O'Beirne, Maeve
    Turin, Tanvir C.
    PLOS ONE, 2022, 17 (04):
  • [10] Machine learning-based models for prediction of survival in medulloblastoma: a systematic review and meta-analysis
    Hajikarimloo, Bardia
    Habibi, Mohammad Amin
    Alvani, Mohammadamin Sabbagh
    Meinagh, Sima Osouli
    Kooshki, Alireza
    Afkhami-Ardakani, Omid
    Rasouli, Fatemeh
    Tos, Salem M.
    Tavanaei, Roozbeh
    Akhlaghpasand, Mohammadhosein
    Hashemi, Rana
    Hasanzade, Arman
    NEUROLOGICAL SCIENCES, 2025, 46 (02) : 689 - 696