Open AccessFusing a Bayesian Case Velocity Model with Random Forest for Predicting COVID-19 in the U.S.
Author(s) -
Gregory L. Watson,
Di Xiong,
Lu Zhang,
Joseph A. Zoller,
John Shamshoian,
Phillip Sundin,
Teresa Bufford,
Anne W. Rimoin,
Marc A. Suchard,
Christina M. Ramirez
Publication year - 2020
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.3594606
Subject(s) - random forest , covid-19 , bayesian probability , statistics , econometrics , computer science , mathematics , artificial intelligence , medicine , virology , outbreak , disease , infectious disease (medical specialty)
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