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Document Type |
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Thesis |
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Document Title |
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LEVERAGING SOCIAL MEDIA ANALYTICS FOR ENHANCED HEALTHCARE الاستفادة من تحليل بيانات وسائل التواصل الاجتماعي في تحسين الرعاية الصحية |
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Subject |
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Faculty of Computing and Information Technology |
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Document Language |
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Arabic |
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Abstract |
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Smartness, which underpins smart cities and societies, is defined by our ability to engage with our environments, analyze them, and make decisions, all in a timely manner. Healthcare is the prime candidate needing the transformative capability of this smartness. Social media could enable a ubiquitous and continuous engagement between healthcare stakeholders, leading to better public health. Current works are limited in their scope, functionality, and scalability. This thesis proposes Sehaa, a big data analytics tool for healthcare in the Kingdom of Saudi Arabia (KSA) using Twitter data in Arabic. Sehaa uses Naive Bayes, Logistic Regression, and multiple feature extraction methods to detect various diseases in the KSA. Sehaa found that the top five diseases in Saudi Arabia in terms of the actual afflicted cases are dermal diseases, heart diseases, hypertension, cancer, and diabetes. Riyadh and Jeddah need to do more in creating awareness about the top diseases. Taif is the healthiest city in the KSA in terms of the detected diseases and awareness activities. Moreover, we detected list of associated diseases, awareness events and measured the influence of top five health influencers in Saudi Arabia. Sehaa is developed over Apache Spark allowing true scalability. The dataset used comprises 18.9 million tweets collected from November 2018 to September 2019. The results are evaluated using well-known numerical criteria (Accuracy and F1-Score) and are validated against externally available statistics. |
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Supervisor |
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Dr. Rashid Mahmoud |
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Thesis Type |
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Doctorate Thesis |
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Publishing Year |
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1441 AH
2020 AD |
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Co-Supervisor |
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Dr. Iyad is a writer |
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Added Date |
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Wednesday, June 3, 2020 |
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Researchers
| شعيع دليم العتيبي | Alotaibi, Shoayee Dlaim | Researcher | Doctorate | |
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