Literature DB >> 33772087

New machine learning model predicts who may benefit most from COVID-19 vaccination.

Leia Wedlund1, Joseph Kvedar2.   

Abstract

Entities:  

Year:  2021        PMID： 33772087      PMCID： PMC7997995          DOI： 10.1038/s41746-021-00425-4

Source DB:  PubMed          Journal:  NPJ Digit Med        ISSN： 2398-6352


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  3 in total

1.  A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China.

Authors:  Jiao Gong; Jingyi Ou; Xueping Qiu; Yusheng Jie; Yaqiong Chen; Lianxiong Yuan; Jing Cao; Mingkai Tan; Wenxiong Xu; Fang Zheng; Yaling Shi; Bo Hu
Journal:  Clin Infect Dis       Date:  2020-07-28       Impact factor: 9.079

2.  Predicting COVID-19 mortality with electronic medical records.

Authors:  Hossein Estiri; Zachary H Strasser; Jeffy G Klann; Pourandokht Naseri; Kavishwar B Wagholikar; Shawn N Murphy
Journal:  NPJ Digit Med       Date:  2021-02-04

3.  Comparing Rapid Scoring Systems in Mortality Prediction of Critically Ill Patients With Novel Coronavirus Disease.

Authors:  Hai Hu; Ni Yao; Yanru Qiu
Journal:  Acad Emerg Med       Date:  2020-05-21       Impact factor: 5.221
  3 in total
  1 in total

Review 1.  Potential of Microneedle Systems for COVID-19 Vaccination: Current Trends and Challenges.

Authors:  Jasmin Hassan; Charlotte Haigh; Tanvir Ahmed; Md Jasim Uddin; Diganta B Das
Journal:  Pharmaceutics       Date:  2022-05-16       Impact factor: 6.525
  1 in total

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