Stratification of the Mortality Risk of COVID-19 Patients by using Machine Learning Algorithms

被引:0
|
作者
Reuther, Janina [1 ]
Fomenko, Vlad [2 ]
Guelow, Karsten [1 ]
Reuther, Stefan [2 ]
Spreiter, Lucas [2 ]
Schmid, Stephan [1 ]
Mueller-Schilling, Martina [1 ]
机构
[1] Univ Klinikum Regensburg, Klin & Poliklin Inneren Med 1, Regensburg, Germany
[2] Unetiq GmbH, Data Sci, Munich, Germany
来源
INTERNIST | 2021年 / 62卷 / SUPPL 2期
关键词
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
YIA6
引用
收藏
页码:197 / 197
页数:1
相关论文
共 50 条
  • [21] Symptom Prediction and Mortality Risk Calculation for COVID-19 Using Machine Learning
    Jamshidi, Elham
    Asgary, Amirhossein
    Tavakoli, Nader
    Zali, Alireza
    Dastan, Farzaneh
    Daaee, Amir
    Badakhshan, Mohammadtaghi
    Esmaily, Hadi
    Jamaldini, Seyed Hamid
    Safari, Saeid
    Bastanhagh, Ehsan
    Maher, Ali
    Babajani, Amirhesam
    Mehrazi, Maryam
    Kashi, Mohammad Ali Sendani
    Jamshidi, Masoud
    Sendani, Mohammad Hassan
    Rahi, Sahand Jamal
    Mansouri, Nahal
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2021, 4
  • [22] A machine learning based exploration of COVID-19 mortality risk
    Mahdavi, Mahdi
    Choubdar, Hadi
    Zabeh, Erfan
    Rieder, Michael
    Safavi-Naeini, Safieddin
    Jobbagy, Zsolt
    Ghorbani, Amirata
    Abedini, Atefeh
    Kiani, Arda
    Khanlarzadeh, Vida
    Lashgari, Reza
    Kamrani, Ehsan
    PLOS ONE, 2021, 16 (07):
  • [23] COVID-19 Outbreak Prediction by Using Machine Learning Algorithms
    Sher, Tahir
    Rehman, Abdul
    Kim, Dongsun
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 74 (01): : 1561 - 1574
  • [24] Machine and Deep Learning Algorithms for COVID-19 Mortality Prediction Using Clinical and Radiomic Features
    Verzellesi, Laura
    Botti, Andrea
    Bertolini, Marco
    Trojani, Valeria
    Carlini, Gianluca
    Nitrosi, Andrea
    Monelli, Filippo
    Besutti, Giulia
    Castellani, Gastone
    Remondini, Daniel
    Milanese, Gianluca
    Croci, Stefania
    Sverzellati, Nicola
    Salvarani, Carlo
    Iori, Mauro
    ELECTRONICS, 2023, 12 (18)
  • [25] Development and validation of a machine learning model to predict mortality risk in patients with COVID-19
    Stachel, Anna
    Daniel, Kwesi
    Ding, Dan
    Francois, Fritz
    Phillips, Michael
    Lighter, Jennifer
    BMJ HEALTH & CARE INFORMATICS, 2021, 28 (01)
  • [26] 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)
  • [27] 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
  • [28] 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):
  • [29] Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach
    Lam, Carson
    Calvert, Jacob
    Siefkas, Anna
    Barnes, Gina
    Pellegrini, Emily
    Green-Saxena, Abigail
    Hoffman, Jana
    Mao, Qingqing
    Das, Ritankar
    HEALTH POLICY AND TECHNOLOGY, 2021, 10 (03)
  • [30] Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
    Sonu Subudhi
    Ashish Verma
    Ankit B. Patel
    C. Corey Hardin
    Melin J. Khandekar
    Hang Lee
    Dustin McEvoy
    Triantafyllos Stylianopoulos
    Lance L. Munn
    Sayon Dutta
    Rakesh K. Jain
    npj Digital Medicine, 4