Open AccessA Hybrid Deep Learning Model for COVID-19 Prediction and Current Status of Clinical Trials Worldwide
Author(s) -
Shwet Ketu,
Pramod Kumar Mishra
Publication year - 2020
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2020.012423
Subject(s) - autoregressive integrated moving average , mean squared error , mean absolute percentage error , covid-19 , predictive modelling , akaike information criterion , statistics , artificial intelligence , deep learning , pandemic , computer science , medicine , machine learning , disease , time series , mathematics , infectious disease (medical specialty)
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom