Big Data and Situation-Aware Technology for Smarter Healthcare

Chen, Mu-Yen; Lughofer, Edwin; Polikar, Robi

doi:10.1007/s40846-018-0452-4

Cited by 3 publications

(2 citation statements)

References 15 publications

(15 reference statements)

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“…State of the art technologies like ML and IoT have not been exploited to its full potential in predicting the employees' health status [62] [63]. Moreover, the employee health data, real-time data collection and processing has not been fully addressed since it is challenging to continuously monitor an employee's health [64] [70]. Motivated by the successful applications of IoT [66] [68] 4 [69] in other fields of technological development integrated with the fortes of ML, an IoT based EHIS called IoTPulse has been proposed to predict the alcohol addiction using ML model with high accuracy.…”

Section: Motivation and Our Contributionsmentioning

confidence: 99%

IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing

Dhillon

Singh

Vohra

et al. 2020

Enterprise Information Systems

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This paper proposes IoT-based an enterprise health information system called IoTPulse to predict alcohol addiction providing real-time data using machine-learning in fog computing environment. We used data from 300 alcohol addicts from Punjab (India) as a case study to train machine-learning models. The performance of IoTPulse is compared against existing work using various parameters including accuracy, sensitivity, specificity and precision which shows improvement of 7%, 4%, 12% and 12% respectively. Finally, IoTPulse is validated in FogBus-based real fog environment using QoS parameters including latency, network bandwidth, energy and response time which improves performance by 19.56%, 18.36%, 19.53% and 21.56% respectively.

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Section: Motivation and Our Contributionsmentioning

confidence: 99%

IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing

Dhillon

Singh

Vohra

et al. 2020

Enterprise Information Systems

View full text Add to dashboard Cite

show abstract

“…Innovative is the consideration of the use of Internet of things technology in the development of coherent, secure, flexible real-time healthcare systems incorporating Internet of things technology (Chen, Lughofer, & Polikar, 2018). Intelligent healthcare systems that analyze patient data generated from the Internet of things.…”

Section: Research Questionsmentioning

confidence: 99%