[HTML][HTML] Systematic review of smart health monitoring using deep learning and Artificial intelligence

A Sujith, GS Sajja, V Mahalakshmi, S Nuhmani… - Neuroscience …, 2022 - Elsevier
In the rapidly growing world of technology and evolution, the outbreak and emergences
diseases have become a critical issue. Precaution, prevention and controlling the diseases …

[HTML][HTML] Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking …

OS Albahri, AA Zaidan, AS Albahri, BB Zaidan… - Journal of infection and …, 2020 - Elsevier
This study presents a systematic review of artificial intelligence (AI) techniques used in the
detection and classification of coronavirus disease 2019 (COVID-19) medical images in …

A systematic review for enabling of develop a blockchain technology in healthcare application: taxonomy, substantially analysis, motivations, challenges …

HM Hussien, SM Yasin, SNI Udzir, AA Zaidan… - Journal of medical …, 2019 - Springer
Blockchain in healthcare applications requires robust security and privacy mechanism for
high-level authentication, interoperability and medical records sharing to comply with the …

Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and …

S Qahtan, K Yatim, H Zulzalil, MH Osman… - Journal of Network and …, 2023 - Elsevier
This paper has been contributed on the basis of three main goals, namely, to identify the
research gaps, challenges and open issues in the academic literature related to the …

[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients

MA Alsalem, HA Alsattar, AS Albahri… - Journal of infection and …, 2021 - Elsevier
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …

Determining importance of many-objective optimisation competitive algorithms evaluation criteria based on a novel fuzzy-weighted zero-inconsistency method

RT Mohammed, AA Zaidan, R Yaakob… - … Journal of Information …, 2022 - World Scientific
Along with the developments of numerous MaOO algorithms in the last decades, comparing
the performance of MaOO algorithms with one another is also highly needed. Many studies …

[HTML][HTML] Novel dynamic fuzzy decision-making framework for COVID-19 vaccine dose recipients

OS Albahri, AA Zaidan, AS Albahri, HA Alsattar… - Journal of advanced …, 2022 - Elsevier
Introduction The vaccine distribution for the COVID-19 is a multicriteria decision-making
(MCDM) problem based on three issues, namely, identification of different distribution …

Federated learning for IoMT applications: A standardization and benchmarking framework of intrusion detection systems

A Alamleh, OS Albahri, AA Zaidan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for
federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the …

Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure

KI Mohammed, AA Zaidan, BB Zaidan… - Journal of medical …, 2019 - Springer
Remotely monitoring a patient's condition is a serious issue and must be addressed.
Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies …

Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications

E Krishnan, R Mohammed, A Alnoor… - … Journal of Intelligent …, 2021 - Wiley Online Library
The benchmarking of smart e‐tourism data management applications falls under the
problem of multicriteria decision‐making (MCDM). This claim is supported by three issues …