z-logo
open-access-imgOpen Access
Predicting CoVID-19 community mortality risk using machine learning and development of an online prognostic tool
Author(s) -
Ashis Das,
Shiba Mishra,
Saji Saraswathy Gopalan
Publication year - 2020
Publication title -
peerj
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.927
H-Index - 70
ISSN - 2167-8359
DOI - 10.7717/peerj.10083
Subject(s) - machine learning , random forest , logistic regression , brier score , artificial intelligence , triage , gradient boosting , computer science , support vector machine , predictive modelling , boosting (machine learning) , covid-19 , software deployment , medicine , emergency medicine , disease , infectious disease (medical specialty) , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom