COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm-Reference-Cited by-同舟云学术

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COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm

Published:2020-07-03 Issue: Volume:8 Page:
ISSN:2296-2565
Container-title:Frontiers in Public Health
language:
Short-container-title:Front. Public Health

Author:

Iwendi Celestine,Bashir Ali Kashif,Peshkar Atharva,Sujatha R.,Chatterjee Jyotir Moy,Pasupuleti Swetha,Mishra Rishita,Pillai Sofia,Jo Ohyun

Funder

National Research Foundation of Korea

Publisher

Frontiers Media SA

Subject

Public Health, Environmental and Occupational Health

Reference30 articles.

1. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China;Huang;Lancet.,2020

2. Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia;Li;N Engl J Med.,2020

3. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study;Chen;Lancet.,2020

4. Infection Is Suspected: Interim Guidance2020

5. Middle East respiratory syndrome;Zumla;Lancet.,2015

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