Telehealth utilization during the Covid-19 pandemic: a systematic review S Garfan, AH Alamoodi, BB Zaidan, M Al-Zobbi, RA Hamid, JK Alwan, ... Computers in biology and medicine 138, 104878, 2021 | 336 | 2021 |
Role of biological data mining and machine learning techniques in detecting and diagnosing the novel coronavirus (COVID-19): a systematic review AS Albahri, RA Hamid, JK Alwan, ZT Al-Qays, AA Zaidan, BB Zaidan, ... Journal of medical systems 44, 1-11, 2020 | 320 | 2020 |
IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art AS Albahri, JK Alwan, ZK Taha, SF Ismail, RA Hamid, AA Zaidan, ... Journal of Network and Computer Applications 173, 102873, 2021 | 296 | 2021 |
How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management RA Hamid, AS Albahri, JK Alwan, ZT Al-Qaysi, OS Albahri, AA Zaidan, ... Computer Science Review 39, 100337, 2021 | 267 | 2021 |
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods AS Albahri, RA Hamid, OS Albahri, AA Zaidan Artificial intelligence in medicine 111, 101983, 2021 | 124 | 2021 |
Multi-biological laboratory examination framework for the prioritization of patients with COVID-19 based on integrated AHP and group VIKOR methods AS Albahri, JR Al-Obaidi, AA Zaidan, OS Albahri, RA Hamid, BB Zaidan, ... International Journal of Information Technology & Decision Making 19 (05 …, 2020 | 109 | 2020 |
Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications E Krishnan, R Mohammed, A Alnoor, OS Albahri, AA Zaidan, H Alsattar, ... International Journal of Intelligent Systems 36 (9), 4723-4774, 2021 | 87 | 2021 |
Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: a systematic review SS Joudar, AS Albahri, RA Hamid Computers in Biology and Medicine 146, 105553, 2022 | 49 | 2022 |
Dempster–Shafer theory for classification and hybridised models of multi-criteria decision analysis for prioritisation: a telemedicine framework for patients with heart diseases RA Hamid, AS Albahri, OS Albahri, AA Zaidan Journal of Ambient Intelligence and Humanized Computing 13 (9), 4333-4367, 2022 | 47 | 2022 |
Development of IoT-based mhealth framework for various cases of heart disease patients AS Albahri, AA Zaidan, OS Albahri, BB Zaidan, AH Alamoodi, AH Shareef, ... Health and Technology 11, 1013-1033, 2021 | 41 | 2021 |
Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero … AS Albahri, AA Zaidan, HA AlSattar, RA Hamid, OS Albahri, S Qahtan, ... Computational Intelligence 39 (2), 225-257, 2023 | 35 | 2023 |
Diagnosis‐Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning … ME Alqaysi, AS Albahri, RA Hamid International Journal of Telemedicine and Applications 2022 (1), 3551528, 2022 | 35 | 2022 |
Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues SS Joudar, AS Albahri, RA Hamid, IA Zahid, ME Alqaysi, OS Albahri, ... Artificial Intelligence Review 56 (Suppl 1), 53-117, 2023 | 30 | 2023 |
Intelligent triage method for early diagnosis autism spectrum disorder (ASD) based on integrated fuzzy multi-criteria decision-making methods SS Joudar, AS Albahri, RA Hamid Informatics in Medicine Unlocked 36, 101131, 2023 | 28 | 2023 |
Intelligent decision-making framework for evaluating and benchmarking hybridized multi-deep transfer learning models: managing COVID-19 and beyond MA Ahmed, ZT Al-Qaysi, AS Albahri, ME Alqaysi, G Kou, OS Albahri, ... International Journal of Information Technology & Decision Making, 2350046, 2023 | 25 | 2023 |
Early automated prediction model for the diagnosis and detection of children with autism spectrum disorders based on effective sociodemographic and family characteristic features AS Albahri, RA Hamid, AA Zaidan, OS Albahri Neural Computing and Applications 35 (1), 921-947, 2023 | 25 | 2023 |
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision‐Making (MCDM) Techniques: An … ME Alqaysi, AS Albahri, RA Hamid Computational and Mathematical Methods in Medicine 2022 (1), 9410222, 2022 | 24 | 2022 |
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks AS Albahri, RA Hamid, AR Abdulnabi, OS Albahri, AH Alamoodi, ... Information Fusion 105, 102208, 2024 | 22 | 2024 |
A trustworthy and explainable framework for benchmarking hybrid deep learning models based on chest X-ray analysis in CAD systems AS Albahri, MM Jassim, L Alzubaidi, RA Hamid, MA Ahmed, ZT Al-Qaysi, ... International Journal of Information Technology & Decision Making, 1-54, 2024 | 22 | 2024 |
A developed GPS trajectories data management system for predicting tourists' POI RA Hamid, MS Croock TELKOMNIKA (Telecommunication Computing Electronics and Control) 18 (1), 124-132, 2020 | 19 | 2020 |