Journal ArticleDOI
A cognitive technology based healthcare monitoring system and medical data transmission
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TLDR
A Cognitive Data Transmission Method (CDTM) is proposed for monitor, record and transmit the data patient’s health related data and a stochastic prophesy representation is intended to predict the future health condition of the most related patients based on their present health conditions.About:
This article is published in Measurement.The article was published on 2019-11-01. It has received 24 citations till now. The article focuses on the topics: Health administration & Big data.read more
Citations
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Journal ArticleDOI
IoT-Based Applications in Healthcare Devices.
TL;DR: In this paper, the authors give an up-to-date summary of the potential healthcare applications of IoT-based technologies and discuss the potential challenges and issues in the IoT system.
Journal ArticleDOI
Analyzing patient health information based on IoT sensor with AI for improving patient assistance in the future direction
TL;DR: IoT sensor with an AI-based health assistance prediction process is developed using MATLAB tool and examines the patient’s details from the previous health information which helps to predict the exact patient health condition in the future direction.
Journal ArticleDOI
Application of cognitive computing in healthcare, cybersecurity, big data and IoT: A literature review
TL;DR: A comprehensive survey of prior research in the cognitive computing domain along with the challenges, solutions and future research directions is presented in this article , where CC-based techniques solving real-world problems in four widely-researched application areas, namely, healthcare, cybersecurity, big data and IoT, have been reviewed in detail and the open research issues are discussed.
Journal ArticleDOI
A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming
Shah Nazir,Sulaiman Khan,Habib Ullah Khan,Shaukat Ali,Iván García-Magariño,Rodziah Atan,Muhammad Nawaz +6 more
TL;DR: The proposed research work organizes and summarizes the existing published research work based on the research questions defined and keywords identified for the search process, which ultimately will help to use the study as evidence for treating patients and suggest medicines accordingly.
Journal ArticleDOI
Machine learning and artificial intelligence in the service of medicine: Necessity or potentiality?
TL;DR: The general developmental paths concerning AI and ML concept usage in healthcare systems are discussed, including fields where these technologies are already being put to the test or even applied such as in Hematology, Neurology, Cardiology, Oncology, Radiology, Ophthalmology, Cell Biology and Cell Therapy.
References
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Journal ArticleDOI
MapReduce: simplified data processing on large clusters
Jeffrey Dean,Sanjay Ghemawat +1 more
TL;DR: This presentation explains how the underlying runtime system automatically parallelizes the computation across large-scale clusters of machines, handles machine failures, and schedules inter-machine communication to make efficient use of the network and disks.
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Big data analytics in healthcare: promise and potential
TL;DR: Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs, and its potential is great; however there remain challenges to overcome.
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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.
Journal ArticleDOI
Toward Scalable Systems for Big Data Analytics: A Technology Tutorial
TL;DR: This paper presents a systematic framework to decompose big data systems into four sequential modules, namely data generation, data acquisition, data storage, and data analytics, and presents the prevalent Hadoop framework for addressing big data challenges.
Journal ArticleDOI
Applications, challenges, and prospective in emerging body area networking technologies
TL;DR: This article studies the core set of application, functional, and technical requirements of the BAN, and discusses fundamental research challenges such as scalability, antenna design, interference mitigation, coexistence, QoS, reliability, security, privacy, and energy efficiency.
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