Fog and Cloud Computing Assisted IoT Model Based Personal Emergency Monitoring and Diseases Prediction Services
Along with the rapid development of modern high-tech and the change of people's awareness of healthy life, the demand for personal healthcare services is gradually increasing. The rapid progress of information and communication technology and medical and bio technology not only improves persona...
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Institute of Informatics, Slovak Academy of Sciences
2020
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ftjcai:oai:ojs.cai.ui.sav.sk:article/4917 2023-05-15T16:02:07+02:00 Fog and Cloud Computing Assisted IoT Model Based Personal Emergency Monitoring and Diseases Prediction Services Li, Zhancui Wen, Longri Liu, Jimin Jia, Quanqiu Che, Chengri Shi, Chengfeng Cai, Haiying 2020-02-29 application/pdf https://www.cai.sk/ojs/index.php/cai/article/view/2020_1-2_5 https://doi.org/10.31577/cai_2020_1-2_5 eng eng Institute of Informatics, Slovak Academy of Sciences https://www.cai.sk/ojs/index.php/cai/article/view/2020_1-2_5/1002 https://www.cai.sk/ojs/index.php/cai/article/view/2020_1-2_5 doi:10.31577/cai_2020_1-2_5 Copyright (c) 2021 COMPUTING AND INFORMATICS COMPUTING AND INFORMATICS; Vol. 39 No. 1-2 (2020): Computing and Informatics; 5-27 2585-8807 1335-9150 EMDPS DML PHR EHR IoT fog computing cloud computing APC model 68U35 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2020 ftjcai https://doi.org/10.31577/cai_2020_1-2_5 2022-12-20T17:13:57Z Along with the rapid development of modern high-tech and the change of people's awareness of healthy life, the demand for personal healthcare services is gradually increasing. The rapid progress of information and communication technology and medical and bio technology not only improves personal healthcare services, but also brings the fact that the human being has entered the era of longevity. At present, there are many researches focused on various wearable sensing devices and implant devices and Internet of Things in order to capture personal daily life health information more conveniently and effectively, and significant results have been obtained, such as fog computing. To provide personal healthcare services, the fog and cloud computing is an effective solution for sharing health information. The health big data analysis model can provide personal health situation reports on a daily basis, and the gene sequencing can provide hereditary disease prediction. However, the injury mortality and emergency diseases since long ago caused death and great pain for the family. And there are no effective rescue methods to save precious lives and no methods to predict the disease morbidity likelihood. The purpose of this research is to capture personal daily health information based on sensors and monitoring emergency situations with the help of fog computing and mobile applications, and disease prediction based on cloud computing and big data analysis. Through the comparison of test results it was proved that the proposed emergency monitoring based on fog and cloud computing and the diseases prediction model based on big data analysis not only gain more of the rescue time than the traditional emergency treatment method, but they also accumulate lots of different personal healthcare related experience. The Taian 960 hospital of PLA and the Yanbian Hospital as IM testbed were joined to provide emergency monitoring tests, and to ensure the CVD and CVA morbidity likelihood medical big data analysis, the people around Taian ... Article in Journal/Newspaper DML Computing and Informatics (E-Journal) Computing and Informatics 39 1-2 5 27 |
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Computing and Informatics (E-Journal) |
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ftjcai |
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English |
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EMDPS DML PHR EHR IoT fog computing cloud computing APC model 68U35 |
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EMDPS DML PHR EHR IoT fog computing cloud computing APC model 68U35 Li, Zhancui Wen, Longri Liu, Jimin Jia, Quanqiu Che, Chengri Shi, Chengfeng Cai, Haiying Fog and Cloud Computing Assisted IoT Model Based Personal Emergency Monitoring and Diseases Prediction Services |
topic_facet |
EMDPS DML PHR EHR IoT fog computing cloud computing APC model 68U35 |
description |
Along with the rapid development of modern high-tech and the change of people's awareness of healthy life, the demand for personal healthcare services is gradually increasing. The rapid progress of information and communication technology and medical and bio technology not only improves personal healthcare services, but also brings the fact that the human being has entered the era of longevity. At present, there are many researches focused on various wearable sensing devices and implant devices and Internet of Things in order to capture personal daily life health information more conveniently and effectively, and significant results have been obtained, such as fog computing. To provide personal healthcare services, the fog and cloud computing is an effective solution for sharing health information. The health big data analysis model can provide personal health situation reports on a daily basis, and the gene sequencing can provide hereditary disease prediction. However, the injury mortality and emergency diseases since long ago caused death and great pain for the family. And there are no effective rescue methods to save precious lives and no methods to predict the disease morbidity likelihood. The purpose of this research is to capture personal daily health information based on sensors and monitoring emergency situations with the help of fog computing and mobile applications, and disease prediction based on cloud computing and big data analysis. Through the comparison of test results it was proved that the proposed emergency monitoring based on fog and cloud computing and the diseases prediction model based on big data analysis not only gain more of the rescue time than the traditional emergency treatment method, but they also accumulate lots of different personal healthcare related experience. The Taian 960 hospital of PLA and the Yanbian Hospital as IM testbed were joined to provide emergency monitoring tests, and to ensure the CVD and CVA morbidity likelihood medical big data analysis, the people around Taian ... |
format |
Article in Journal/Newspaper |
author |
Li, Zhancui Wen, Longri Liu, Jimin Jia, Quanqiu Che, Chengri Shi, Chengfeng Cai, Haiying |
author_facet |
Li, Zhancui Wen, Longri Liu, Jimin Jia, Quanqiu Che, Chengri Shi, Chengfeng Cai, Haiying |
author_sort |
Li, Zhancui |
title |
Fog and Cloud Computing Assisted IoT Model Based Personal Emergency Monitoring and Diseases Prediction Services |
title_short |
Fog and Cloud Computing Assisted IoT Model Based Personal Emergency Monitoring and Diseases Prediction Services |
title_full |
Fog and Cloud Computing Assisted IoT Model Based Personal Emergency Monitoring and Diseases Prediction Services |
title_fullStr |
Fog and Cloud Computing Assisted IoT Model Based Personal Emergency Monitoring and Diseases Prediction Services |
title_full_unstemmed |
Fog and Cloud Computing Assisted IoT Model Based Personal Emergency Monitoring and Diseases Prediction Services |
title_sort |
fog and cloud computing assisted iot model based personal emergency monitoring and diseases prediction services |
publisher |
Institute of Informatics, Slovak Academy of Sciences |
publishDate |
2020 |
url |
https://www.cai.sk/ojs/index.php/cai/article/view/2020_1-2_5 https://doi.org/10.31577/cai_2020_1-2_5 |
genre |
DML |
genre_facet |
DML |
op_source |
COMPUTING AND INFORMATICS; Vol. 39 No. 1-2 (2020): Computing and Informatics; 5-27 2585-8807 1335-9150 |
op_relation |
https://www.cai.sk/ojs/index.php/cai/article/view/2020_1-2_5/1002 https://www.cai.sk/ojs/index.php/cai/article/view/2020_1-2_5 doi:10.31577/cai_2020_1-2_5 |
op_rights |
Copyright (c) 2021 COMPUTING AND INFORMATICS |
op_doi |
https://doi.org/10.31577/cai_2020_1-2_5 |
container_title |
Computing and Informatics |
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39 |
container_issue |
1-2 |
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5 |
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27 |
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1766397727680233472 |