Bimodal Insulin Delivery System Using Internet of Things and Machine Learning Approach

Indragandhi, V.; Chitra, A.; Singhania, Raunak; Garg, Divyansh; Subramaniyaswamy, V.

doi:10.1109/i-pact52855.2021.9696619

Cited by 3 publications

(1 citation statement)

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“…India's healthcare sector is important to its economy, but high costs are a concern. AIDD proposes using IoT and ML for an improved insulin delivery system for comatose patients [57]. Multiple ML models were used to predict insulin doses for diabetic patients remotely, eliminating the need for physical assistance.…”

Section: Research Survey For Exploring the Role Of Iot In Revolutioni...mentioning

confidence: 99%

Advances and Challenges in IoT-Based Smart Drug Delivery Systems: A Comprehensive Review

Raikar,

Kumar,

Raikar

et al. 2023

ASI

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In the current era of technology, the internet of things (IoT) plays a vital role in smart drug delivery systems. It is an emerging field that offers promising solutions for improving the efficacy, safety, and patient compliance of drug therapies. IoT-based drug delivery systems leverage advanced devices, sophisticated sensors, and smart tools to monitor and analyse the health matrices of the patient in real-time, allowing for personalised and targeted drug delivery. This technology is implemented through various types of devices, including wearable and implantable devices such as infusion pumps, smart pens, inhalers, and auto-injectors. However, the development and implementation of IoT-based drug delivery systems pose several challenges, such as ensuring data security and privacy, regulatory compliance, compatibility, and reliability. In this paper, the latest research on smart wearable devices and its analysis are addressed. It also focuses on the challenges of ensuring the safe and efficient use of this technology in healthcare applications.

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Section: Research Survey For Exploring the Role Of Iot In Revolutioni...mentioning

confidence: 99%