Search Results - "Hamid, Rula A."

Triage and priority-based healthcare diagnosis using artificial intelligence for autism spectrum disorder and gene contribution: A systematic review by Joudar, Shahad Sabbar, Albahri, A.S., Hamid, Rula A.

“…The exact nature, harmful effects and aetiology of autism spectrum disorder (ASD) have caused widespread confusion. Artificial intelligence (AI) science helps…”
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Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method by Albahri, Ahmed S., Zaidan, Aws A., AlSattar, Hassan A., A. Hamid, Rula, Albahri, Osamah S., Qahtan, Sarah, Alamoodi, Abdulla H.

“…Autism spectrum disorders (ASD) are a diverse group of conditions characterized by difficulty with social interaction and communication. ASD is expected to be…”
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Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review by Alqaysi, M. E., Albahri, A. S., Hamid, Rula A.

“…Autism spectrum disorder (ASD) is a complex neurobehavioral condition that begins in childhood and continues throughout life, affecting communication and…”
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Prioritizing complex health levels beyond autism triage using fuzzy multi-criteria decision-making by Albahri, A. S., Hamid, Rula A., Alzubaidi, Laith, Homod, Raad Z., Zidan, Khamis A., Mubark, Hassan, Shayea, Ghadeer Ghazi, Albahri, O. S., Alamoodi, A. H.

“…This study delves into the complex prioritization process for Autism Spectrum Disorder (ASD), focusing on triaged patients at three urgency levels…”
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Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods by Albahri, A.S., Hamid, Rula A., Albahri, O.S., Zaidan, A.A.

“…•Develop a new framework that can handle the prioritisation of COVID-19 patients and can detect the health conditions of asymptomatic carriers.•The most…”
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Telehealth utilization during the Covid-19 pandemic: A systematic review by Garfan, Salem, Alamoodi, A.H., Zaidan, B.B., Al-Zobbi, Mohammed, Hamid, Rula A., Alwan, Jwan K., Ahmaro, Ibraheem Y.Y., Khalid, Eman Thabet, Jumaah, F.M., Albahri, O.S., Zaidan, A.A., Albahri, A.S., Al-qaysi, Z.T., Ahmed, M.A., Shuwandy, Moceheb Lazam, Salih, Mahmood M., Zughoul, Omar, Mohammed, K.I., Momani, Fayiz

“…During the coronavirus disease (COVID-19) pandemic, different technologies, including telehealth, are maximised to mitigate the risks and consequences of the…”
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Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications by Krishnan, Elaiyaraja, Mohammed, Rawia, Alnoor, Alhamzah, Albahri, Osamah Shihab, Zaidan, Aws Alaa, Alsattar, Hassan, Albahri, Ahmed Shihab, Zaidan, Bilal Bahaa, Kou, Gang, Hamid, Rula A., Alamoodi, Abdullah Hussein, Alazab, Mamoun

“…The benchmarking of smart e‐tourism data management applications falls under the problem of multicriteria decision‐making (MCDM). This claim is supported by…”
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Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review by Albahri, A. S., Hamid, Rula A., Alwan, Jwan k., Al-qays, Z.T., Zaidan, A. A., Zaidan, B. B., Albahri, A O. S., AlAmoodi, A. H., Khlaf, Jamal Mawlood, Almahdi, E. M., Thabet, Eman, Hadi, Suha M., Mohammed, K I., Alsalem, M. A., Al-Obaidi, Jameel R., Madhloom, H.T.

“…Coronaviruses (CoVs) are a large family of viruses that are common in many animal species, including camels, cattle, cats and bats. Animal CoVs, such as Middle…”
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Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model by Alqaysi, M. E., Albahri, A. S., Hamid, Rula A.

“…Autism spectrum disorder (ASD) presents challenges for accurate diagnosis, prompting researchers to search for an optimal diagnostic process. Feature selection…”
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Dempster–Shafer theory for classification and hybridised models of multi-criteria decision analysis for prioritisation: a telemedicine framework for patients with heart diseases by Hamid, Rula A., Albahri, A. S., Albahri, O. S., Zaidan, A. A.

“…Hybridised classification and prioritisation of patients with chronic heart diseases (CHDs) can save lives by categorising them on the basis of disease…”
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Early automated prediction model for the diagnosis and detection of children with autism spectrum disorders based on effective sociodemographic and family characteristic features by Albahri, A. S., Hamid, Rula A., Zaidan, A. A., Albahri, O. S.

“…Children with autism spectrum disorders (ASDs) tremendously impact people’s lives, and the incidence and prevalence of ASDs are increasing globally. Global…”
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Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework by Alqaysi, M. E., Albahri, A. S., Hamid, Rula A.

“…Background and Contexts. Autism spectrum disorder (ASD) is difficult to diagnose, prompting researchers to increase their efforts to find the best diagnosis by…”
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Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and open issues by Joudar, Shahad Sabbar, Albahri, A. S., Hamid, Rula A., Zahid, Idrees A., Alqaysi, M. E., Albahri, O. S., Alamoodi, A. H.

“…The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has dramatically transformed the landscape of medical diagnosis. People often…”
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Intelligent triage method for early diagnosis autism spectrum disorder (ASD) based on integrated fuzzy multi-criteria decision-making methods by Joudar, Shahad Sabbar, Albahri, A.S., Hamid, Rula A.

“…Autism spectrum disorder (ASD) symptoms and severity levels vary from patient to patient, so treatment and healthcare will vary. However, little attention has…”
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A comprehensive review of deep learning power in steady-state visual evoked potentials by Al-Qaysi, Z. T., Albahri, A. S., Ahmed, M. A., Hamid, Rula A., Alsalem, M. A., Albahri, O. S., Alamoodi, A. H., Homod, Raad Z., Shayea, Ghadeer Ghazi, Duhaim, Ali M.

“…Brain–computer interfacing (BCI) research, fueled by deep learning, integrates insights from diverse domains. A notable focus is on steady-state visual evoked…”
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Explainable Artificial Intelligence Multimodal of Autism Triage Levels Using Fuzzy Approach-Based Multi-criteria Decision-Making and LIME by Albahri, A. S., Joudar, Shahad Sabbar, Hamid, Rula A., Zahid, Idrees A., Alqaysi, M. E., Albahri, O. S., Alamoodi, A. H., Kou, Gang, Sharaf, Iman Mohamad

“…A new framework for explainable artificial intelligence in the context of multimodal triage for autism spectrum disorders (ASD) using a fuzzy approach-based…”
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Fuzzy Evaluation and Benchmarking Framework for Robust Machine Learning Model in Real-Time Autism Triage Applications by Shayea, Ghadeer Ghazi, Zabil, Mohd Hazli Mohammed, Albahri, A. S., Joudar, Shahad Sabbar, Hamid, Rula A., Albahri, O. S., Alamoodi, A. H., Zahid, Idrees A., Sharaf, Iman Mohamad

“…In the context of autism spectrum disorder (ASD) triage, the robustness of machine learning (ML) models is a paramount concern. Ensuring the robustness of ML…”
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Development of IoT-based mhealth framework for various cases of heart disease patients by Albahri, A. S., Zaidan, A. A., Albahri, O. S., Zaidan, B. B., Alamoodi, A. H., Shareef, Ali H., Alwan, Jwan K., Hamid, Rula A., Aljbory, M. T., Jasim, Ali Najm, Baqer, M. J., Mohammed, K. I.

“…A newly distributed fault-tolerant mHealth framework-based Internet of things (IoT) is proposed in this study to resolve the essential problems of healthcare…”
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IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art by Albahri, A.S., Alwan, Jwan K., Taha, Zahraa K., Ismail, Sura F., Hamid, Rula A., Zaidan, A.A., Albahri, O.S., Zaidan, B.B., Alamoodi, A.H., Alsalem, M.A.

“…Numerous studies have focused on making telemedicine smart through the Internet of Things (IoT) technology. These works span a wide range of research areas to…”
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How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management by Hamid, Rula A., Albahri, A.S., Alwan, Jwan K., Al-qaysi, Z.T., Albahri, O.S., Zaidan, A.A., Alnoor, Alhamzah, Alamoodi, A.H., Zaidan, B.B.

“…Extensive research has been conducted on e-tourism spanning a wide range of concepts, challenges and concerns discussed in tourism recommender systems (TRS)…”
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