Investigation of Statistical and Machine Learning Models for COVID-19 Prediction

Bibliographic Details
Title: Investigation of Statistical and Machine Learning Models for COVID-19 Prediction
Authors: Saggu, JoydeepAff13, Bansal, AnkitaAff13
Contributors: Kacprzyk, Janusz, Series EditorAff1, Gomide, Fernando, Advisory EditorAff2, Kaynak, Okyay, Advisory EditorAff3, Liu, Derong, Advisory EditorAff4, Pedrycz, Witold, Advisory EditorAff5, Polycarpou, Marios M., Advisory EditorAff6, Rudas, Imre J., Advisory EditorAff7, Wang, Jun, Advisory EditorAff8, Swaroop, Abhishek, editorAff9, Polkowski, Zdzislaw, editorAff10, Correia, Sérgio Duarte, editorAff11, Virdee, Bal, editorAff12
Source: Proceedings of Data Analytics and Management : ICDAM 2023, Volume 4. 788:181-189
Database: Springer Nature eBooks
Description
ISBN:9789819965526
9789819965533
DOI:10.1007/978-981-99-6553-3_14