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Successful Role of Smart Technology to Combat COVID-19

Amtul Waheed, Jana Shafi
2020 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)  
Wild and uncontrolled spread of the corona pandemic over several months throughout the world is a global issue.  ...  This paper analyses different technologies used in different conditions such as social distancing and prevention, quarantine and isolation, COVID detection and testing, patient treatment and care, and  ...  ACKNOWLEDGMENT We are thankful to the Deanship of Scientific Research of Prince Sattam bin Abdul Aziz University, KSA for their kind support.  ... 
doi:10.1109/i-smac49090.2020.9243444 fatcat:ccnr6ht5orhhrlgn2g2xieudfq

Digital Twin Hospital Buildings: An Exemplary Case Study through Continuous Lifecycle Integration

Yang Peng, Ming Zhang, Fangqiang Yu, Jinglin Xu, Shang Gao, Hugo Rodrigues
2020 Advances in Civil Engineering  
By proposing innovations both in technique and management—a "continuous lifecycle integration" method based on the concept of Digital Twin (DT) and "early movement" of the general contractor, this paper  ...  Managers have the ability to grasp the detailed status of the whole hospital by visual management and receive timely facility diagnosis and operation suggestions that are automatically sent back from the  ...  Geometry modeling was mainly conducted with CAD drawings from the design phase, while the 3D point cloud method by laser scanning or photogrammetry [8] was tested upon complex mechanical rooms.  ... 
doi:10.1155/2020/8846667 fatcat:kh3ypilmufanlpd327mjqqe26i

Application of AI and IoT in Clinical Medicine: Summary and Challenges

Zhao-xia Lu, Peng Qian, Dan Bi, Zhe-wei Ye, Xuan He, Yu-hong Zhao, Lei Su, Si-liang Li, Zheng-long Zhu
2021 Current Medical Science  
With the development of advanced technologies such as the Internet of Things (IoT), cloud computing, big data, and 5G mobile networks, AI technology has been more widely adopted in the medical field.  ...  In this work, we examine the technical basis of IoT, cloud computing, big data analysis and machine learning involved in clinical medicine, combined with concepts of specific algorithms such as activity  ...  contactless vital sign monitoring and cloud-based early warning protection services for long-term care of patients.  ... 
doi:10.1007/s11596-021-2486-z pmid:34939144 pmcid:PMC8693843 fatcat:3g3qpksktjhv5koqs3i7ylco7y

Review of Smart Hospital Services in Real Healthcare Environments

Hyuktae Kwon, Sunhee An, Ho-Young Lee, Won Chul Cha, Sungwan Kim, Minwoo Cho, Hyoun-Joong Kong
2022 Healthcare Informatics Research  
mobile phones, tablets, and wearables; artificial intelligence-based services for the diagnosis and prediction of diseases; robot services provided on behalf of humans in various medical fields; extended  ...  based on new wireless communication technology; Internet of Things-based services that connect objects embedded with sensors and communication functions to the internet; mobile health services such as  ...  Mobile integrated solutions All resources, such as people, equipment, and technology, are integrated into mobile to narrow the point of treatment as much as possible. C.  ... 
doi:10.4258/hir.2022.28.1.3 pmid:35172086 pmcid:PMC8850169 fatcat:zhyq6xodpjh3jiprfgkqblp4ja

Content

2020 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)  
Swarm Recharging: Modeling Using Agent-Based Simulation 0094 SESSION 4: INTERNET OF THINGS AND CLOUD AND VIRTUAL NETWORKS 04.1 1570670878 Offloading-Efficiency Maximization for Mobile Edge Computing  ...  Travel Range Prediction 0614 20.4 1570680201 Privacy Illusion: Beware of Unpadded DoH 0621 20.5 1570680824 A Streaming Stock Market Application Adapted to a Mobile Device 0629 SESSION  ... 
doi:10.1109/iemcon51383.2020.9284848 fatcat:4ltdf33yerce3avsxsgjlcb7iy

Tracking Pandemics: A MEC-Enabled IoT Ecosystem with Learning Capability

Amal Feriani, Ahmed Refaey, Ekram Hossain
2020 IEEE Internet of Things Magazine  
For example, the authors in [10] propose an IoT-based healthcare system to monitor and diagnose patient conditions and ventilator usage in intensive care units (ICUs).  ...  We are particularly interested in the End Device Edge Server Cloud data points from the accelerometer sensor since it can be used to measure the physical activity of the users and hence their degree  ...  Figure 6 . a), b), c): Representation of the original data before alignment in 1D, 2D and 3D respectively; d), e), f): Results of 1D, 2D, and 3D alignment, respectively.  ... 
doi:10.1109/iotm.0001.2000142 fatcat:5w7of6k36fcdrbxfzbyzdqi6qy

Contents

2018 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC)  
Point Cloud Processing Using Spin Images for Object Detection 731-736 14.7 1570416345 Emotional Prosody Analysis on Human Voices 737-741 14.8 1570416523 A Probabilistic Framework for Short  ...  Leased Land in Bangladesh 226-232 3.3 1570415269 Exhaustive Community Enumeration on a Cluster 233-237 3.4 1570415305 Predicting ICU Death With Summarized Patient Data 238-247 3.5 1570416239  ... 
doi:10.1109/ccwc.2018.8301783 fatcat:qmdq273aojbarcn2gszmz6yyx4

EHDViz: clinical dashboard development using open-source technologies

Marcus A Badgeley, Khader Shameer, Benjamin S Glicksberg, Max S Tomlinson, Matthew A Levin, Patrick J McCormick, Andrew Kasarskis, David L Reich, Joel T Dudley
2016 BMJ Open  
Conclusions: Collaborative data visualisations, wellness trend predictions, risk estimation, proactive acuity status monitoring and knowledge of complex disease indicators are essential components of implementing  ...  As an open-source visualisation framework capable of integrating health assessment, EHDViz aims to be a valuable toolkit for rapid design, development and implementation of scalable clinical data visualisation  ...  KS and JTD would like to thank Drs Carol Horowitz and Janice Gabrilove for useful discussion about the applications of EHDViz in the areas of patient engagement and simulation-based learning.  ... 
doi:10.1136/bmjopen-2015-010579 pmid:27013597 pmcid:PMC4809078 fatcat:dfyjqrps35aeboauugtucfj7im

Integration of Adaptive Technologies with Healthcare for the Early Identification and Control of COVID-19 Pandemic Disease

Geetha Poornima K, Rajeshwari M, Vinayachandra, Krishna Prasad K
2020 Zenodo  
Web and Mobile based IoT system integrated with healthcare to support the solution that needs to be solved by the emergency posed during this pandemic.  ...  Reliable, sustainable, and accessible approaches can be the emphasis of the new digital healthcare approach. In this direction, IoT based smart solutions are introduced and analyzed.  ...  The world is facing a scarcity of emergency services such as ventilators, test kits, beds in the Intensive Care Unit (ICU), etc.  ... 
doi:10.5281/zenodo.4063845 fatcat:sbosizxu45a6zkynxardkwp4xy

Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges

Nora El-Rashidy, Shaker El-Sappagh, S. M. Riazul Islam, Hazem M. El-Bakry, Samir Abdelrazek
2021 Diagnostics  
A total of 56 articles are reviewed based on the combination of a set of selected search terms including RPM, data mining, clinical decision support system, electronic health record, cloud computing, internet  ...  RPM systems are based on the collection of patient vital signs extracted using invasive and noninvasive techniques, then sending them in real-time to physicians.  ...  In [43] , the authors developed a cloud-based mobile system (CMS) for chronic diseases.  ... 
doi:10.3390/diagnostics11040607 pmid:33805471 pmcid:PMC8067150 fatcat:a42vma6mlfan3cqs5z7e2bs47a

A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining

Md Islam, Md Hasan, Xiaoyi Wang, Hayley Germack, Md Noor-E-Alam
2018 Healthcare  
Use of human-generated data is predominant considering the wide adoption of Electronic Medical Record in clinical care.  ...  However, analytics based on website and social media data has been increasing in recent years.  ...  [59] Intensive care Mortality rate of ICU patients University of Kentucky Hospital [60] Prediction of 30 day mortality of ICU patients MIMIC-II database [61] Other applications Treatment  ... 
doi:10.3390/healthcare6020054 pmid:29882866 pmcid:PMC6023432 fatcat:xkq4mkqbprabvipxnmcvk3hr6m

Integration of Adaptive Technologies with Healthcare for the Early Identification and Control of COVID-19 Pandemic Disease

Geetha Poornima K., Rajeshwari M., Vinayachandra, Krishna Prasad K.
2020 International Journal of Health Sciences and Pharmacy  
Web and Mobile based IoT system integrated with healthcare to support the solution that needs to be solved by the emergency posed during this pandemic.  ...  Reliable, sustainable, and accessible approaches can be the emphasis of the new digital healthcare approach. In this direction, IoT based smart solutions are introduced and analyzed.  ...  The world is facing a scarcity of emergency services such as ventilators, test kits, beds in the Intensive Care Unit (ICU), etc.  ... 
doi:10.47992/ijhsp.2581.6411.0066 fatcat:ny46olzd2nc3dmzwoyixhnffza

Breaking Barriers in Emerging Biomedical Applications

Konstantinos Katzis, Lazar Berbakov, Gordana Gardašević, Olivera Šveljo
2022 Entropy  
This paper aims to identify the communication requirements for mass deployment of such smart healthcare sensors by providing the overview of underlying Internet of Things (IoT) technologies.  ...  Moreover, it highlights the importance of information theory in understanding the limits and barriers in this emerging field.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/e24020226 pmid:35205520 pmcid:PMC8871046 fatcat:w45mc7ttkncrzggyxno777pvzm

DeepHealth: Review and challenges of artificial intelligence in health informatics [article]

Gloria Hyunjung Kwak, Pan Hui
2020 arXiv   pre-print
It can help clinicians diagnose disease, identify drug effects for each patient, understand the relationship between genotypes and phenotypes, explore new phenotypes or treatment recommendations, and predict  ...  Artificial intelligence has provided us with an exploration of a whole new research era.  ...  In recent studies, a hierarchical fuzzy classifier called DFRBS was proposed using a deep rule-based fuzzy classifier and gaussian imputation to predict mortality in intensive care units (ICUs) [205]  ... 
arXiv:1909.00384v2 fatcat:sy7pm2c2uvdd3pal2russn4xri

Application of Industry 4.0 Concept to Health Care

Lenka Lhotska
2020 Studies in Health Technology and Informatics  
The paper describes the concept of the Industry 4.0 and its reflection in health care.  ...  Key technologies and techniques include Internet of Things, big data, artificial intelligence, data integration, robotization, virtual reality, and 3D printing.  ...  Acknowledgements Research of L.  ... 
doi:10.3233/shti200613 pmid:33087590 fatcat:xursgezzjrberfydr2pbdukgm4
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