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Osamah Shihab Albahri

Researcher at Sultan Idris University of Education

Publications -  109
Citations -  4608

Osamah Shihab Albahri is an academic researcher from Sultan Idris University of Education. The author has contributed to research in topics: Computer science & Multiple-criteria decision analysis. The author has an hindex of 31, co-authored 70 publications receiving 2149 citations.

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Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review.

TL;DR: This study aimed to review and analyse articles about the occurrence of different types of infectious diseases, such as epidemics, pandemics, viruses or outbreaks, during the last 10 years, understand the application of sentiment analysis and obtain the most important literature findings.
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Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects.

TL;DR: This study proposes a detailed methodology for the evaluation and benchmarking of AI techniques used in all classification tasks of COVID-19 medical images as future directions, and presents the development of the MCDA approach for benchmarking AI classification techniques on the basis of the integrated analytic hierarchy process.
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Smart Home-based IoT for Real-time and Secure Remote Health Monitoring of Triage and Priority System using Body Sensors: Multi-driven Systematic Review

TL;DR: A map matching for both taxonomies is developed in this study to determine the novel risks and benefits of IoT-based smart home security for real-time remote health monitoring within client and server sides in telemedicine applications.
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Systematic Review of Real-time Remote Health Monitoring System in Triage and Priority-Based Sensor Technology: Taxonomy, Open Challenges, Motivation and Recommendations

TL;DR: The motivation for using triage and priority-based sensor technology in telemedicine, the issues related to the obstruction of its application and the development and utilisation of telemedICine are examined.
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IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art

TL;DR: The lifecycle of the context of IoT-based telemedicine healthcare applications is mapped for the first time, including the procedure sequencing and definition for each context, and the crossover in the taxonomy is demonstrated.