Multiple logistic regression model to predict bile leak associated with subtotal cholecystectomy

被引：0
|
作者：
Raimundas Lunevicius
Ikemsinachi C. Nzenwa
机构：
[1] Aintree Hospital,Department of General Surgery, Liverpool University Hospitals NHS Foundation Trust
[2] University of Liverpool,School of Medicine
来源：
Surgical Endoscopy | 2023年 / 37卷
关键词：
Subtotal cholecystectomy; Bile leak; Risk factors; Logistic regression; Multivariable model; Prediction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：5405 / 5413
页数：8
相关论文
共 42 条
  • [21] A novel mathematical model to predict prognosis of burnt patients based on logistic regression and support vector machine
    Huang, Yinghui
    Zhang, Lei
    Lian, Guan
    Zhan, Rixing
    Xu, Rufu
    Huang, Yan
    Mitra, Biswadev
    Wu, Jun
    Luo, Gaoxing
    BURNS, 2016, 42 (02) : 291 - 299
  • [22] Using physical literacy to predict physical activity among university students: a machine learning logistic regression model
    Dong, Xiaoxi
    Yan, Zengying
    Deng, Jiangzhou
    Desiral, Heather Johanson
    Xu, Menglin
    Huang, Fan
    INTERNATIONAL JOURNAL OF SPORT PSYCHOLOGY, 2024, 55 (03) : 280 - 296
  • [23] Logistic regression model to predict outcome after in-hospital cardiac arrest: validation, accuracy, sensitivity and specificity
    Dodek, PM
    Wiggs, BR
    RESUSCITATION, 1998, 36 (03) : 201 - 208
  • [24] Identification and validation of a logistic regression model for predicting serious injuries associated with motor vehicle crashes
    Kononen, Douglas W.
    Flannagan, Carol A. C.
    Wang, Stewart C.
    ACCIDENT ANALYSIS AND PREVENTION, 2011, 43 (01) : 112 - 122
  • [25] An Investigation of Risk Factors Associated with Tuberculosis Transmission in South Africa Using Logistic Regression Model
    Maja, Tshepo Frans
    Maposa, Daniel
    INFECTIOUS DISEASE REPORTS, 2022, 14 (04) : 609 - 620
  • [26] A multiple logistic regression statistical model to estimate grain losses on sieve cleaning system from combine
    Voicu, Georghe
    Casandroiu, Tudor
    Toma, Laura-Magdalena
    ACTUAL TASKS ON AGRICULTURAL ENGINEERING, PROCEEDINGS, 2006, 34 : 481 - +
  • [27] Logistic Regression Model Based on Ultrafast Pulse Wave Velocity and Different Feature Selection Methods to Predict the Risk of Hypertension
    Bai, Xue
    Liu, Wenjun
    Huang, Hui
    You, Huan
    IRANIAN JOURNAL OF PUBLIC HEALTH, 2022, 51 (09) : 2099 - 2107
  • [28] Factors Associated with Increased Pain in Primary Dysmenorrhea: Analysis Using a Multivariate Ordered Logistic Regression Model
    Tomas-Rodriguez, Maria I.
    Palazon-Bru, Antonio
    Martinez-St John, Damian R. J.
    Navarro-Cremades, Felipe
    Toledo-Marhuenda, Jose V.
    Gil-Guillen, Vicente F.
    JOURNAL OF PEDIATRIC AND ADOLESCENT GYNECOLOGY, 2017, 30 (02) : 199 - 202
  • [29] Factors associated with increased risk of exacerbation and hospital admission in a cohort of ambulatory COPD patients:: A multiple logistic regression analysis
    Miravitlles, M
    Guerrero, T
    Mayordomo, C
    Sánchez-Agudo, L
    Nicolau, F
    Segú, JL
    RESPIRATION, 2000, 67 (05) : 495 - 501
  • [30] Predictive model of aflatoxin contamination risk associated with granary-stored corn with versicolorin A monitoring and logistic regression
    Jiang, Meng Ping
    Zheng, Shao Yan
    Wang, Hao
    Zhang, Shu Yao
    Yao, Dong Sheng
    Xie, Chun Fang
    Liu, Da Ling
    FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT, 2019, 36 (02): : 308 - 319
12345