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Journal ArticleDOI

Cloud-centric IoT based disease diagnosis healthcare framework

Prabal Verma, +1 more
- 01 Dec 2017 - 
- Vol. 116, pp 27-38
TLDR
A cloud-centric IoT basedm-healthcare monitoring disease diagnosing framework is proposed which predicts the potential disease with its level of severity and experimental results show that the proposed methodology outperforms the baseline methods for disease prediction.
About
This article is published in Journal of Parallel and Distributed Computing.The article was published on 2017-12-01. It has received 177 citations till now. The article focuses on the topics: Cloud computing & Big data.

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Citations
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Journal ArticleDOI

Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier

TL;DR: A new systematic approach is used for the diabetes diseases and the related medical data is generated by using the UCI Repository dataset and the medical sensors for predicting the people who has affected with diabetes severely and a new classification algorithm called Fuzzy Rule based Neural Classifier is proposed for diagnosing the disease and the severity.
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A study on medical Internet of Things and Big Data in personalized healthcare system

TL;DR: The challenges in designing a better healthcare system to make early detection and diagnosis of diseases and the possible solutions while providing e-health services in secure manner are analyzed and possible future work guidelines are provided.
Journal ArticleDOI

An intelligent healthcare monitoring framework using wearable sensors and social networking data

TL;DR: A novel healthcare monitoring framework based on the cloud environment and a big data analytics engine is proposed to precisely store and analyze healthcare data, and to improve the classification accuracy.
Journal ArticleDOI

Challenges and opportunities in IoT healthcare systems: a systematic review

TL;DR: The latest research articles which are involved in the Internet of Things (IoT) based healthcare system are analyzed as the IoT is growing enormously in the healthcare systems such as health monitoring, fitness programs, etc.
Journal ArticleDOI

A systematic review of IoT in healthcare: Applications, techniques, and trends

TL;DR: This paper aims to identify, compare systematically, and classify existing investigations taxonomically in the Healthcare IoT (HIoT) systems by reviewing 146 articles between 2015 and 2020, and presents a comprehensive taxonomy in the HIoT.
References
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Journal ArticleDOI

The Internet of Things: A survey

TL;DR: This survey is directed to those who want to approach this complex discipline and contribute to its development, and finds that still major issues shall be faced by the research community.
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Internet of Things (IoT): A vision, architectural elements, and future directions

TL;DR: In this article, the authors present a cloud centric vision for worldwide implementation of Internet of Things (IoT) and present a Cloud implementation using Aneka, which is based on interaction of private and public Clouds, and conclude their IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.
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The Internet of Things for Health Care: A Comprehensive Survey

TL;DR: An intelligent collaborative security model to minimize security risk is proposed; how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context is discussed; and various IoT and eHealth policies and regulations are addressed to determine how they can facilitate economies and societies in terms of sustainable development.
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An IoT-Aware Architecture for Smart Healthcare Systems

TL;DR: A smart hospital system (SHS), which relies on different, yet complementary, technologies, specifically RFID, WSN, and smart mobile, interoperating with each other through a Constrained Application Protocol (CoAP)/IPv6 over low-power wireless personal area network (6LoWPAN) network infrastructure.
Journal ArticleDOI

Fog Computing: Helping the Internet of Things Realize Its Potential

TL;DR: Fog computing is designed to overcome limitations in traditional systems, the cloud, and even edge computing to handle the growing amount of data that is generated by the Internet of Things.
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