Using Machine Learning to Predict Hospitalization and Mortality of COVID-19 Patients with Diabetic Retinopathy

被引:0
|
作者
Zhong, Katherine [1 ,2 ]
Chen, Elizabeth [1 ,2 ]
Eickhoff, Carsten [1 ,2 ]
Greenberg, Paul [1 ,2 ]
机构
[1] Brown Univ, Warren Alpert Med Sch, Providence, RI USA
[2] Brown Univ, Ctr Biomed Informat, Providence, RI USA
关键词
D O I
暂无
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
引用
下载
收藏
页数:3
相关论文
共 50 条
  • [11] Stratification of the Mortality Risk of COVID-19 Patients by using Machine Learning Algorithms
    Reuther, Janina
    Fomenko, Vlad
    Guelow, Karsten
    Reuther, Stefan
    Spreiter, Lucas
    Schmid, Stephan
    Mueller-Schilling, Martina
    INTERNIST, 2021, 62 (SUPPL 2): : 197 - 197
  • [12] Predicting the mortality of patients with Covid-19: A machine learning approach
    Emami, Hassan
    Rabiei, Reza
    Sohrabei, Solmaz
    Atashi, Alireza
    HEALTH SCIENCE REPORTS, 2023, 6 (04)
  • [13] Identifying Predictors of COVID-19 Mortality Using Machine Learning
    Wan, Tsz-Kin
    Huang, Rui-Xuan
    Tulu, Thomas Wetere
    Liu, Jun-Dong
    Vodencarevic, Asmir
    Wong, Chi-Wah
    Chan, Kei-Hang Katie
    LIFE-BASEL, 2022, 12 (04):
  • [14] COVID-19 Mortality Prediction Using Machine Learning Techniques
    Schirato, Lindsay
    Makina, Kennedy
    Flanders, Dwayne
    Pouriyeh, Seyedamin
    Shahriar, Hossain
    2021 IEEE INTERNATIONAL CONFERENCE ON DIGITAL HEALTH (ICDH 2021), 2021, : 197 - 202
  • [15] Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms
    Amiri, Parastoo
    Montazeri, Mahdieh
    Ghasemian, Fahimeh
    Asadi, Fatemeh
    Niksaz, Saeed
    Sarafzadeh, Farhad
    Khajouei, Reza
    DIGITAL HEALTH, 2023, 9
  • [16] Predicting in-Hospital Mortality of Patients with COVID-19 Using Machine Learning Techniques
    Tezza, Fabiana
    Lorenzoni, Giulia
    Azzolina, Danila
    Barbar, Sofia
    Leone, Lucia Anna Carmela
    Gregori, Dario
    JOURNAL OF PERSONALIZED MEDICINE, 2021, 11 (05):
  • [17] Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning
    R. R. van de Leur
    H. Bleijendaal
    K. Taha
    T. Mast
    J. M. I. H. Gho
    M. Linschoten
    B. van Rees
    M. T. H. M. Henkens
    S. Heymans
    N. Sturkenboom
    R. A. Tio
    J. A. Offerhaus
    W. L. Bor
    M. Maarse
    H. E. Haerkens-Arends
    M. Z. H. Kolk
    A. C. J. van der Lingen
    J. J. Selder
    E. E. Wierda
    P. F. M. M. van Bergen
    M. M. Winter
    A. H. Zwinderman
    P. A. Doevendans
    P. van der Harst
    Y. M. Pinto
    F. W. Asselbergs
    R. van Es
    F. V. Y. Tjong
    Netherlands Heart Journal, 2022, 30 : 312 - 318
  • [18] Electrocardiogram-based mortality prediction in patients with COVID-19 using machine learning
    van de Leur, R. R.
    Bleijendaal, H.
    Taha, K.
    Mast, T.
    Gho, J. M. I. H.
    Linschoten, M.
    van Rees, B.
    Henkens, M. T. H. M.
    Heymans, S.
    Sturkenboom, N.
    Tio, R. A.
    Offerhaus, J. A.
    Bor, W. L.
    Maarse, M.
    Haerkens-Arends, H. E.
    Kolk, M. Z. H.
    van der Lingen, A. C. J.
    Selder, J. J.
    Wierda, E. E.
    van Bergen, P. F. M. M.
    Winter, M. M.
    Zwinderman, A. H.
    Doevendans, P. A.
    van der Harst, P.
    Pinto, Y. M.
    Asselbergs, F. W.
    van Es, R.
    Tjong, F. V. Y.
    NETHERLANDS HEART JOURNAL, 2022, 30 (06) : 312 - 318
  • [19] Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique
    Rahman, Tawsifur
    Al-Ishaq, Fajer A.
    Al-Mohannadi, Fatima S.
    Mubarak, Reem S.
    Al-Hitmi, Maryam H.
    Islam, Khandaker Reajul
    Khandakar, Amith
    Hssain, Ali Ait
    Al-Madeed, Somaya
    Zughaier, Susu M.
    Chowdhury, Muhammad E. H.
    DIAGNOSTICS, 2021, 11 (09)
  • [20] Machine learning models to predict the maximum severity of COVID-19 based on initial hospitalization record
    Hwangbo, Suhyun
    Kim, Yoonjung
    Lee, Chanhee
    Lee, Seungyeoun
    Oh, Bumjo
    Moon, Min Kyong
    Kim, Shin-Woo
    Park, Taesung
    FRONTIERS IN PUBLIC HEALTH, 2022, 10