[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 …

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 …

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 …

Based on the multi-assessment model: towards a new context of combining the artificial neural network and structural equation modelling: a review

AS Albahri, A Alnoor, AA Zaidan, OS Albahri… - Chaos, Solitons & …, 2021‏ - Elsevier
Theoretical models have become increasingly complex, but the dual-phase structural
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …

Electronic medical record systems: Decision support examination framework for individual, security and privacy concerns using multi-perspective analysis

O Enaizan, AA Zaidan, NHM Alwi, BB Zaidan… - Health and …, 2020‏ - Springer
Electronic medical record (EMR) is currently a popular topic in e-health. EMR includes the
health-related information of patients and forms the main factor of e-health applications …

Hel** doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on …

OS Albahri, JR Al-Obaidi, AA Zaidan, AS Albahri… - Computer methods and …, 2020‏ - Elsevier
Context People who have recently recovered from the threat of deteriorating coronavirus
disease-2019 (COVID-19) have antibodies to the coronavirus circulating in their blood …

Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …

MA Alsalem, AA Zaidan, BB Zaidan, M Hashim… - Journal of medical …, 2018‏ - Springer
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …

Fault-tolerant mHealth framework in the context of IoT-based real-time wearable health data sensors

OS Albahri, AS Albahri, AA Zaidan, BB Zaidan… - IEEE …, 2019‏ - ieeexplore.ieee.org
The emerging technology breakthrough of the Internet of Things (IoT) is expected to offer
promising solutions for indoor/outdoor healthcare, which may contribute significantly to …

A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems

MS Al-Samarraay, MM Salih, MA Ahmed… - Neural Computing and …, 2022‏ - Springer
Many studies have recently developed real-time sign language recognition system (SLRS)-
based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as …

A new standardisation and selection framework for real-time image dehazing algorithms from multi-foggy scenes based on fuzzy Delphi and hybrid multi-criteria …

KH Abdulkareem, N Arbaiy, AA Zaidan… - Neural Computing and …, 2021‏ - Springer
Given the rapid development of dehazing image algorithms, selecting the optimal algorithm
based on multiple criteria is crucial in determining the efficiency of an algorithm. However, a …