A hybrid computational approach to process real-time streaming multi-sources data and improve classification for emergency patients triage services: moving forward to an efficient IoMT-based real-time telemedicine systems-Reference-Cited by-同舟云学术

A hybrid computational approach to process real-time streaming multi-sources data and improve classification for emergency patients triage services: moving forward to an efficient IoMT-based real-time telemedicine systems

Published:2024-02-21 Issue:17 Volume:36 Page:10109-10122
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Salman Omar Sadeq,Abdul Latiff Nurul Mu’azzah,Salman Omar H.,Syed Ariffin Sharifah Hafizah

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00521-024-09600-6.pdf

Reference40 articles.

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3. Abdalkareem ZA, Amir A, Al-Betar MA, Ekhan P, Hammouri AI (2021) Healthcare scheduling in optimization context: a review. Health Technol (Berl) 11(3):445–469. https://doi.org/10.1007/s12553-021-00547-5

4. Albahri AHAOS, Alsattar AAZHA, Albahri BBZAS (2023) Hospital selection framework for remote MCD patients based on fuzzy q-rung orthopair environment. Neural Comput Appl 35(8):6185–6196. https://doi.org/10.1007/s00521-022-07998-5

5. Salman OH, Rasid MFA, Saripan MI, Subramaniam SK (2014) Multi-sources data fusion framework for remote triage prioritization in telehealth. J Med Syst 38(9):1–23. https://doi.org/10.1007/s10916-014-0103-4

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