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Machine Learning Technique for Managing Vulnerable People During the Covid-19 and Related Pandemic Through Telemedicine: Systematic Review, Open Challenges, and Research Directions

Crossref DOI link: https://doi.org/10.1007/s11063-025-11807-0

Published Online: 2026-02-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Shuib, Liyana

Eke, Christopher Ifeanyi

Azmi, Noraniza

Balakrishnan, Vimala

Abdul Razak, Hairil
License Information

Text and Data Mining valid from 2026-02-17

Version of Record valid from 2026-03-19
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Article History

Received: 12 February 2024

Accepted: 3 November 2024

First Online: 17 February 2026

Declaration

:

: The authors declare no competing interests.

: There are no human or animal participants involved in this study endeavor. Therefore, ethical issues pertaining to research involving humans and animals do not apply to this study.

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