A DEEP LEARNING MODEL FOR PREDICTING 30-DAY POSTOPERATIVE MORTALITY

被引：0
|
作者：
Fritz, Bradley A. [1 ]
Cui, Zhicheng [1 ]
Zhang, Muhan [1 ]
He, Yujie [1 ]
Chen, Yixin [1 ]
Kronzer, Alexander [1 ]
Ben Abdallah, Arbi [1 ]
King, Christopher R. [1 ]
Avidan, Michael [1 ]
机构：
[1] Washington Univ, Sch Med, St Louis, MO 14263 USA
来源：
ANESTHESIA AND ANALGESIA | 2019年 / 128卷
关键词：
D O I：
暂无
中图分类号：
R614 [麻醉学];
学科分类号：
100217 ;
摘要：
S-283
引用
收藏
页码：601 / 601
页数：1
相关论文
共 50 条
  • [1] Deep-learning model for predicting 30-day postoperative mortality
    Fritz, Bradley A.
    Cui, Zhicheng
    Zhang, Muhan
    He, Yujie
    Chen, Yixin
    Kronzer, Alex
    Ben Abdallah, Arbi
    King, Christopher R.
    Avidan, Michael S.
    BRITISH JOURNAL OF ANAESTHESIA, 2019, 123 (05) : 688 - 695
  • [2] Update to 'Deep-learning model for predicting 30-day postoperative mortality' (Br J Anaesth 2019; 123: 688-95)
    Fritz, Bradley A.
    Abdelhack, Mohamed
    King, Christopher R.
    Chen, Yixin
    Avidan, Michael S.
    BRITISH JOURNAL OF ANAESTHESIA, 2020, 125 (02) : E230 - E231
  • [3] Predicting 30-day mortality for palliative radiotherapy
    Witztum, A.
    Wu, S.
    Gennatas, E.
    Valdes, G.
    Solberg, T.
    Braunstein, S.
    RADIOTHERAPY AND ONCOLOGY, 2019, 133 : S466 - S467
  • [4] Predicting Risk of 30-day Postoperative Morbidity Using the Pathologic Fracture Mortality Index
    Vankara, Ashish
    Leland, Christopher R.
    Maxson, Ridge
    Raad, Micheal
    Sabharwal, Samir
    Morris, Carol D.
    Levin, Adam S.
    JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS, 2024, 32 (03) : e146 - e155
  • [5] The Pathologic Fracture Mortality Index: A Novel Externally Validated Tool for Predicting 30-day Postoperative Mortality
    Raad, Michael
    Suresh, Krishna, V
    Puvanesarajah, Varun
    Forsberg, Jonathan
    Morris, Carol
    Levin, Adam
    JOURNAL OF THE AMERICAN ACADEMY OF ORTHOPAEDIC SURGEONS, 2021, 29 (23) : E1264 - E1273
  • [6] A new prognostic model for predicting 30-day mortality in acute oncology patients
    O'Neill, Tess
    Hudda, Mohammed T.
    Patel, Reena
    Liu, Wing Kin
    Young, Anna-Mary
    Patel, Hitendra R. H.
    Afshar, Mehran
    EXPERT REVIEW OF ANTICANCER THERAPY, 2021, 21 (10) : 1171 - 1177
  • [7] Independent Factors Predicting Postoperative 30-Day Mortality in 101 Infants Following Liver Transplantation
    Cho, Chan Woo
    Lee, Sanghoon
    Kim, Jong Man
    Choi, Gyu-Seong
    Kwon, Choon Hyuck David
    Joh, Jae-Won
    Lee, Suk-Koo
    ANNALS OF TRANSPLANTATION, 2017, 22 : 631 - 637
  • [8] Predicting 30-day mortality and 30-day re-hospitalization risks in patients with heart failure
    Gambassi, G.
    Li, L.
    Baek, J.
    Jesdale, B. M.
    Hume, A.
    Caretti, D.
    Goldberg, R. J.
    Lapane, K. L.
    EUROPEAN HEART JOURNAL, 2019, 40 : 2131 - 2131
  • [9] Machine learning models to prognose 30-Day Mortality in Postoperative Disseminated Cancer Patients
    Ganguli, Reetam
    Franklin, Jordan
    Yu, Xiaotian
    Lin, Alice
    Lad, Rishik
    Heffernan, Daithi S.
    SURGICAL ONCOLOGY-OXFORD, 2022, 44
  • [10] A Predictive Model for 30-Day Mortality of in ICUs
    Xie, Peng
    Wang, Wenqiang
    Dong, Maolong
    INFECTION AND DRUG RESISTANCE, 2022, 15 : 7841 - 7852
12345