A Cyber-Physical System Framework for Early Detection of Paroxysmal Diseases

Gu, Zuxing; Jiang, Yu; Zhou, Min; Gao, Ming; Song, Xiaoyu; Sha, Lui

doi:10.1109/access.2018.2850039

Cited by 5 publications

(2 citation statements)

References 37 publications

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“…The fundamental goal of the projected system is to assess the jeopardy of coronary heart disease, for tracking patients’ ECG readings, to inform users and specialists when readings are aberrant, and to suggest medications and preventive measures in accordance with risk category. To alleviate the lack of domain expertise between computer scientists and physicians, Gu et al [ 63 ] established a Diagnostic Knowledge Model (DKM) for classifying the clinical conditions. The suggested system’s main goals are to discharge the health staff of the hefty weight of hospital duties and to offer appropriate decision-support.…”

Section: Related Workmentioning

confidence: 99%

DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction

Kukkar,

Kumar,

Sandhu

et al. 2024

Diagnostics

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Dengue is a distinctive and fatal infectious disease that spreads through female mosquitoes called Aedes aegypti. It is a notable concern for developing countries due to its low diagnosis rate. Dengue has the most astounding mortality level as compared to other diseases due to tremendous platelet depletion. Hence, it can be categorized as a life-threatening fever as compared to the same class of fevers. Additionally, it has been shown that dengue fever shares many of the same symptoms as other flu-based fevers. On the other hand, the research community is closely monitoring the popular research fields related to IoT, fog, and cloud computing for the diagnosis and prediction of diseases. IoT, fog, and cloud-based technologies are used for constructing a number of health care systems. Accordingly, in this study, a DengueFog monitoring system was created based on fog computing for prediction and detection of dengue sickness. Additionally, the proposed DengueFog system includes a weighted random forest (WRF) classifier to monitor and predict the dengue infection. The proposed system’s efficacy was evaluated using data on dengue infection. This dataset was gathered between 2016 and 2018 from several hospitals in the Delhi-NCR region. The accuracy, F-value, recall, precision, error rate, and specificity metrics were used to assess the simulation results of the suggested monitoring system. It was demonstrated that the proposed DengueFog monitoring system with WRF outperforms the traditional classifiers.

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Section: Related Workmentioning

confidence: 99%

DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction

Kukkar,

Kumar,

Sandhu

et al. 2024

Diagnostics

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“…Liu et al (2018) present ubiquitous interactive objects as a uniform model for smart devices, and support dynamic adding to, deleting from, and updating of the simulation. And Gu et al (2018) present a CPS framework to assist physicians in making earlier diagnoses of paroxysmal sympathetic hyperactivity based on existing medical knowledge, and present a component-based medical CPS framework to employ the knowledge models and integrate medical devices. Zhang et al (2017) proposes a CPS for patient-centric healthcare applications and services, called Health-CPS, built on cloud and big data analytics technologies.…”

Section: Applications Of Cpsmentioning

confidence: 99%

Theoretical foundations and applications of cyber-physical systems: a literature review

Zhang

Hong

2019

LHT

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Purpose The purpose of this paper is to review the current research on theoretical foundations and applications for CPS from 2017 to 2019 including the applications in library. Design/methodology/approach This paper is designed in six parts as Introduction, Literature review, Theoretical foundations of CPS, Applications of CPS, CPS’s application in library and Conclusion. The authors review 70 papers and classify them as the above six parts. The authors collected 70 papers from 2017 to 2019 in the academic databases. Findings This paper reviews 70 papers regarding theoretical foundations and applications for CPS from 2017 to 2019 in the academic databases aiming to provide scholars and practitioners with a comprehensive overview. The contents of the papers in each research category are summarized from theoretical foundations and applications including the CPS applications in library. Originality/value A main contribution of this review paper is that it summarizes the current state-of-the-art theoretical foundations and applications for CPS and in libraries systematically.

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A hybrid modeling methodology for cyber physical production systems: framework and key techniques

Wang

Jiang

et al. 2021

Prod. Eng. Res. Devel.

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A Cyber-Physical System Framework for Early Detection of Paroxysmal Diseases

Cited by 5 publications

References 37 publications

DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction

DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction

Theoretical foundations and applications of cyber-physical systems: a literature review

A hybrid modeling methodology for cyber physical production systems: framework and key techniques

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