Abstract
Nowadays, diabetes has become a very common disease across globe. People with diabetes cost the healthcare system in billions and also result in a great loss to productivity. The root cause for diabetes is still un-identified, and the only way to fight is to either reduce or control the extent. For the same, continuous monitoring of diabetes becomes a core area to be examined. Therefore, in this paper, we have explored the use of IoT devices to monitor and control diabetes. Smart glucometers in form of wearable devices can take a stock of glucose levels in the blood on real-time basis. This data is gathered and streamed to multiple systems for further processing. Data analytics and data engineering methods are used to convert data into useful information which in turn helps us to get insights. In case of abnormal situations (400 < glucose level < 70 mg/dL), notifications in form of alerts are sent out to care givers or doctors. So, this leads to an early or timely intervention of doctor. This timely intervention helps to save cost at both patient and payer level.
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Taneja, S., Chandna, M. (2021). IoT for Diabetes: Smart Monitoring and Control. In: Abraham, A., Castillo, O., Virmani, D. (eds) Proceedings of 3rd International Conference on Computing Informatics and Networks. Lecture Notes in Networks and Systems, vol 167. Springer, Singapore. https://doi.org/10.1007/978-981-15-9712-1_39
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DOI: https://doi.org/10.1007/978-981-15-9712-1_39
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