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- W4298142761 abstract "The aim of this chapter is to investigate the applicability of the four pillars of Industry 4.0 namely, Internet of Things (IoT), Big data, Cloud Computing, and Artificial Intelligence, in the healthcare domain with suitable authors’ findings. The industry 4.0 architecture for healthcare domain includes health sensors that gather data from the patient. Thus collected data is relayed to a microcontroller and then sent to the cloud wirelessly. At present almost 70% of the production data in the healthcare domain are unused. Industry 4.0 paves the way for maximum utilization of collected data for on-time diagnosis using machine learning algorithms. The experimental results of authors’ findings will be outlined by a comparative analysis of various machine learning algorithms such as Naive Bayes, Random Forest Tree, Support Vector Machine (SVM), and Classification and Regression Trees (CART). Apart from remote health monitoring, it is possible to connect medical devices to help clinicians to make data driven decisions using IoT. 272A case study of integrating an IoT-based pill dispensing unit to use the compared techniques and protocols is detailed." @default.
- W4298142761 created "2022-10-01" @default.
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- W4298142761 date "2022-09-30" @default.
- W4298142761 modified "2023-09-27" @default.
- W4298142761 title "Automated Health Monitoring System Using the Internet of Things for Improving Healthcare" @default.
- W4298142761 doi "https://doi.org/10.1201/9781003282112-16" @default.
- W4298142761 hasPublicationYear "2022" @default.
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