Regressive class modelling for predicting trajectories of COVID-19 fatalities using statistical and machine learning models

DOI10.1007/s40840-022-01287-zzbMath1496.62179OpenAlexW4224063960MaRDI QIDQ2089358

M. Tariqul Hasan, Gary Sneddon, Rafiqul Islam Chowdhury

Publication date: 6 October 2022

Published in: Bulletin of the Malaysian Mathematical Sciences Society. Second Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40840-022-01287-z

zbMATH Keywords

repeated measuresmodel accuracyjoint modellingdeep learning techniquesSARS-CoV-2 virus

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Artificial neural networks and deep learning (68T07)

Cites Work

• Prediction of disease status: a regressive model approach for repeated measures
• Support-vector networks
• Conditional and marginal models: another view (with comments and rejoinder)
• Approximate Inference in Generalized Linear Mixed Models
• Regressive models for risk prediction of repeated multinomial outcomes: An illustration using Health and Retirement Study data
• A Markov Model for Analyzing Polytomous Outcome Data
• Unnamed Item
• Unnamed Item