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Modeling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives

First Author: Wei H

Attributed to: System Identification and Information Processing for Complex Systems funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1201/9781003176121-2

Publication URI: http://dx.doi.org/10.1201/9781003176121-2

Type: Book Chapter

Book Title: Recent Advances in AI-enabled Automated Medical Diagnosis (2022)

Page Reference: 13-28