HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals
The combination of the Internet of Things (IoT) and cloud computing has been used in many fields, making global customized interest. Recently, this technology has been considered in the medical and healthcare industries. Understanding the challenges and opportunities of using IoT-cloud in modern hea...
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| Format: | Article |
| Language: | English |
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Bilijipub publisher
2022-07-01
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| Series: | Advances in Engineering and Intelligence Systems |
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| Online Access: | https://aeis.bilijipub.com/article_153086_346344535345efd99e8690a494a8e4d1.pdf |
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| author | Oanh Nguyen |
| author_facet | Oanh Nguyen |
| author_sort | Oanh Nguyen |
| collection | DOAJ |
| description | The combination of the Internet of Things (IoT) and cloud computing has been used in many fields, making global customized interest. Recently, this technology has been considered in the medical and healthcare industries. Understanding the challenges and opportunities of using IoT-cloud in modern healthcare systems needs more knowledge and strategies. This trend can be implemented in smart hospitals with Hospital Information Systems (HIS) to provide a successful structure for better management in a new era (especially in the coronavirus pandemic). Proposing a new schema for HIS based on IoT-cloud as an assumption and formulating some advanced models for the three components of notification, database, and data processing provided in the DEMATEL protocol. In general, this article proposes a new framework of Healthcare Services Selection-based Internet of Things-Cloud (HSSCIoT) in HIS for smart hospitals that use deep learning techniques to process any data. The combination of Recurrent Neural Networks (RNN) means Long Term Short Memory (LSTM) and new kinds of Convolutional Neural Networks (CNN) means Atrous Spatial Pyramid Pooling (ASPP) deep learning methods considered for HSSCIoT. |
| format | Article |
| id | doaj-art-9bfc91af98414bb98b77c7277dfabdc1 |
| institution | Kabale University |
| issn | 2821-0263 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | Bilijipub publisher |
| record_format | Article |
| series | Advances in Engineering and Intelligence Systems |
| spelling | doaj-art-9bfc91af98414bb98b77c7277dfabdc12025-02-12T08:46:20ZengBilijipub publisherAdvances in Engineering and Intelligence Systems2821-02632022-07-0100102233510.22034/aeis.2022.343922.1018153086HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart HospitalsOanh Nguyen0Department of Computer Science, University of Saigon, Ho Chi Minh City, 700000, VietnamThe combination of the Internet of Things (IoT) and cloud computing has been used in many fields, making global customized interest. Recently, this technology has been considered in the medical and healthcare industries. Understanding the challenges and opportunities of using IoT-cloud in modern healthcare systems needs more knowledge and strategies. This trend can be implemented in smart hospitals with Hospital Information Systems (HIS) to provide a successful structure for better management in a new era (especially in the coronavirus pandemic). Proposing a new schema for HIS based on IoT-cloud as an assumption and formulating some advanced models for the three components of notification, database, and data processing provided in the DEMATEL protocol. In general, this article proposes a new framework of Healthcare Services Selection-based Internet of Things-Cloud (HSSCIoT) in HIS for smart hospitals that use deep learning techniques to process any data. The combination of Recurrent Neural Networks (RNN) means Long Term Short Memory (LSTM) and new kinds of Convolutional Neural Networks (CNN) means Atrous Spatial Pyramid Pooling (ASPP) deep learning methods considered for HSSCIoT.https://aeis.bilijipub.com/article_153086_346344535345efd99e8690a494a8e4d1.pdfinternet of thingscloud computinghospital information systemdematelhealthcare services selectiondeep learning |
| spellingShingle | Oanh Nguyen HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals Advances in Engineering and Intelligence Systems internet of things cloud computing hospital information system dematel healthcare services selection deep learning |
| title | HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals |
| title_full | HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals |
| title_fullStr | HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals |
| title_full_unstemmed | HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals |
| title_short | HSSCIoT: An Optimal Framework Based on Internet of Things-Cloud Computing for Healthcare Services Selection in Smart Hospitals |
| title_sort | hssciot an optimal framework based on internet of things cloud computing for healthcare services selection in smart hospitals |
| topic | internet of things cloud computing hospital information system dematel healthcare services selection deep learning |
| url | https://aeis.bilijipub.com/article_153086_346344535345efd99e8690a494a8e4d1.pdf |
| work_keys_str_mv | AT oanhnguyen hssciotanoptimalframeworkbasedoninternetofthingscloudcomputingforhealthcareservicesselectioninsmarthospitals |