SUPERVISED MACHINE LEARNING PREDICTS MORTALITY IN COVID-19 PATIENTS USING ELECTRONIC HEALTH RECORDS

被引：0
|
作者：
Marinaro, X. [1 ]
Meng, Z. [1 ]
Zhang, X. [1 ]
Lodaya, K. [1 ]
Hayashida, D. K. [1 ]
Munson, S. [1 ]
D'Souza, F. [1 ]
机构：
[1] Boston Strateg Partners Inc, Boston, MA USA
来源：
VALUE IN HEALTH | 2021年 / 24卷
关键词：
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
ML2
引用
收藏
页码：S11 / S11
页数：1
相关论文
共 50 条
  • [31] An approach to forecast impact of Covid-19 using supervised machine learning model
    Mohan, Senthilkumar
    John, A.
    Abugabah, Ahed
    Adimoolam, M.
    Kumar Singh, Shubham
    Kashif Bashir, Ali
    Sanzogni, Louis
    [J]. SOFTWARE-PRACTICE & EXPERIENCE, 2022, 52 (04): : 824 - 840
  • [32] Machine learning prediction of COVID-19 mortality in cancer patients.
    Dienstmann, Rodrigo
    Menezes, Marcia
    e Silva, Matheus Costa
    Cruz, Heloisa
    Paes, Rafael
    da Silva, Jussaine Alves
    Messias, Anna Carolina R.
    De Marchi, Pedro
    Canedo, Jorge Alexandre
    De Melo, Andreia Cristina
    Jacome, Alexandre A.
    Reinert, Tomas
    Figueiredo Ferreira, Barbara Sodre
    Mathias, Clarissa
    Barrios, Carlos H.
    Ferreira, Carlos G. M.
    Ferrari, Bruno Lemos
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2021, 39 (15)
  • [33] Predicting mortality among patients with liver cirrhosis in electronic health records with machine learning
    Guo, Aixia
    Mazumder, Nikhilesh R.
    Ladner, Daniela P.
    Foraker, Randi E.
    [J]. PLOS ONE, 2021, 16 (08):
  • [34] Predicting the mortality of patients with Covid-19 A machine learning approach: Correspondence
    Ayyoubzadeh, Seyed Mohammad
    [J]. HEALTH SCIENCE REPORTS, 2023, 6 (09)
  • [35] Covid-19 Mortality Risk Prediction Model Using Machine Learning
    Sanchez-Galvez, Alba Maribel
    Sanchez-Galvez, Sully
    Alvarez-Gonzalez, Ricardo
    Rojas-Alarcon, Frida
    [J]. COMPUTACION Y SISTEMAS, 2023, 27 (04): : 881 - 888
  • [36] SUPERVISED MACHINE LEARNING FOR PREDICTING MORTALITY IN ACUTE MYELOID LEUKEMIA PATIENTS USING ELECTRONIC HEALTH RECORD DATA
    Marinaro, X.
    Meng, Z.
    Zhang, X.
    Lodaya, K.
    Hayashida, D. K.
    Munson, S.
    D'Souza, F.
    [J]. VALUE IN HEALTH, 2021, 24 : S65 - S65
  • [37] Accurate COVID-19 Health Outcome Prediction and Risk Factors Identification through an Innovative Machine Learning Framework Using Longitudinal Electronic Health Records
    Feng, Alice
    [J]. 2021 IEEE 9TH INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2021), 2021, : 519 - 526
  • [38] Supervised Machine Learning-Based Prediction of COVID-19
    Atta-ur-Rahman
    Sultan, Kiran
    Naseer, Iftikhar
    Majeed, Rizwan
    Musleh, Dhiaa
    Gollapalli, Mohammed Abdul Salam
    Chabani, Sghaier
    Ibrahim, Nehad
    Siddiqui, Shahan Yamin
    Khan, Muhammad Adnan
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 69 (01): : 21 - 34
  • [39] Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records
    Choi, Min Hyuk
    Kim, Dokyun
    Choi, Eui Jun
    Jung, Yeo Jin
    Choi, Yong Jun
    Cho, Jae Hwa
    Jeong, Seok Hoon
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [40] Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records
    Min Hyuk Choi
    Dokyun Kim
    Eui Jun Choi
    Yeo Jin Jung
    Yong Jun Choi
    Jae Hwa Cho
    Seok Hoon Jeong
    [J]. Scientific Reports, 12
12345