An Intelligent End–Edge–Cloud Architecture for Visual IoT-Assisted Healthcare Systems

2021 ◽  
Vol 8 (23) ◽  
pp. 16779-16786
Author(s):  
Zheming Yang ◽  
Bing Liang ◽  
Wen Ji
Keyword(s):  
Healthcare Systems ◽  
Cloud Architecture

Toward Identifying Mild Cognitive Impairment in Hispanic and African American Adults

2017 ◽  
Vol 2 (2) ◽  
pp. 110-116
Author(s):  
Valarie B. Fleming ◽  
Joyce L. Harris
Keyword(s):  
Older Adults ◽  
African American ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Healthcare Access ◽  
Communication Disorders ◽  
Healthcare Systems ◽  
Prevention Education ◽  
Education Management ◽  
African American Adults

Across the breadth of acquired neurogenic communication disorders, mild cognitive impairment (MCI) may go undetected, underreported, and untreated. In addition to stigma and distrust of healthcare systems, other barriers contribute to decreased identification, healthcare access, and service utilization for Hispanic and African American adults with MCI. Speech-language pathologists (SLPs) have significant roles in prevention, education, management, and support of older adults, the population must susceptible to MCI.

Dimensions of Information and Resource Flow in Healthcare Systems

2007 ◽  
Author(s):  
Karim Camille Boustany ◽  
Barrett S. Caldwell
Keyword(s):  
Healthcare Systems ◽  
Resource Flow

‘I’m an expert in me and I know what I can cope with’: Patient expertise in rheumatoid arthritis

2014 ◽  
Vol 10 (3) ◽  
pp. 249-261 ◽  
Author(s):  
Tessa Sanderson ◽  
Jo Angouri
Keyword(s):  
Rheumatoid Arthritis ◽  
Meta Analysis ◽  
Healthcare Systems ◽  
Specific Knowledge ◽  
Active Involvement ◽  
Domain Specific ◽  
Access To Health ◽  
Patient Expertise ◽  
Domain Specific Knowledge ◽  
The Uk

The active involvement of patients in decision-making and the focus on patient expertise in managing chronic illness constitutes a priority in many healthcare systems including the NHS in the UK. With easier access to health information, patients are almost expected to be (or present self) as an ‘expert patient’ (Ziebland 2004). This paper draws on the meta-analysis of interview data collected for identifying treatment outcomes important to patients with rheumatoid arthritis (RA). Taking a discourse approach to identity, the discussion focuses on the resources used in the negotiation and co-construction of expert identities, including domain-specific knowledge, access to institutional resources, and ability to self-manage. The analysis shows that expertise is both projected (institutionally sanctioned) and claimed by the patient (self-defined). We close the paper by highlighting the limitations of our pilot study and suggest avenues for further research.

Security in Smart Healthcare System: A Comprehensive Survey

2017 ◽  
Vol 7 (10) ◽  
pp. 39
Author(s):  
P. Jeyadurga ◽  
S. Ebenezer Juliet ◽  
I. Joshua Selwyn ◽  
P. Sivanisha
Keyword(s):  
Secure Communication ◽  
Smart Cities ◽  
Healthcare Systems ◽  
Internet Security ◽  
Security Risk ◽  
System A ◽  
Smart Healthcare ◽  
Comprehensive Survey ◽  
Healthcare Monitoring ◽  
The Internet Of Things

The Internet of things (IoT) is one of the emerging technologies that brought revolution in many application domains such as smart cities, smart retails, healthcare monitoring and so on. As the physical objects are connected via internet, security risk may arise. This paper analyses the existing technologies and protocols that are designed by different authors to ensure the secure communication over internet. It additionally focuses on the advancement in healthcare systems while deploying IoT services.

Virtualized Fog Network with Load Balancing for IoT based Fog-to-Cloud

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Istabraq M. Al-Joboury ◽  
Emad H. Al-Hemiary
Keyword(s):  
Load Balancing ◽  
Packet Loss ◽  
Fog Computing ◽  
Transport Protocol ◽  
Network Simulator ◽  
Huge Number ◽  
Message Queue ◽  
Limited Bandwidth ◽  
Cloud Architecture ◽  
Fog Network

Fog Computing is a new concept made by Cisco to provide same functionalities of Cloud Computing but near to Things to enhance performance such as reduce delay and response time. Packet loss may occur on single Fog server over a huge number of messages from Things because of several factors like limited bandwidth and capacity of queues in server. In this paper, Internet of Things based Fog-to-Cloud architecture is proposed to solve the problem of packet loss on Fog server using Load Balancing and virtualization. The architecture consists of 5 layers, namely: Things, gateway, Fog, Cloud, and application. Fog layer is virtualized to specified number of Fog servers using Graphical Network Simulator-3 and VirtualBox on local physical server. Server Load Balancing router is configured to distribute the huge traffic in Weighted Round Robin technique using Message Queue Telemetry Transport protocol. Then, maximum message from Fog layer are selected and sent to Cloud layer and the rest of messages are deleted within 1 hour using our proposed Data-in-Motion technique for storage, processing, and monitoring of messages. Thus, improving the performance of the Fog layer for storage and processing of messages, as well as reducing the packet loss to half and increasing throughput to 4 times than using single Fog server.

ANTICANCER EFFECT OF UVARIA GENUS

2014 ◽  
pp. 98-101
Author(s):  
Thi Bich Hien Le ◽  
Viet Duc Ho ◽  
Thi Hoai Nguyen
Keyword(s):  
Biological Activities ◽  
Current Trend ◽  
Healthcare Systems ◽  
Chemical Compositions ◽  
Cancer Therapies ◽  
Pharmacological Effects ◽  
Anticancer Effect ◽  
Anti Cancer ◽  
Tropical Areas ◽  
Cancer Activity

Nowadays, cancer treatment has been a big challenge to healthcare systems. Most of clinical anti-cancer therapies are toxic and cause adverse effects to human body. Therefore, current trend in science is seeking and screening of natural compounds which possess antineoplastic activities to utilize in treatment. Uvaria L. - Annonaceae includes approximately 175 species spreading over tropical areas of Asia, Australia, Africa and America. Studies on chemical compositions and pharmacological effects of Uvaria showed that several compound classes in this genus such as alkaloid, flavonoid, cyclohexen derivaties, acetogenin, steroid, terpenoid, etc. indicate considerable biological activities, for example anti-tumor, anti-cancer, antibacterial, antifungal, antioxidant, etc. Specifically, anti-cancer activity of fractions of extract and pure isolated compounds stands out for cytotoxicity against many cancer cell lines. This study provides an overview of anti-cancer activity of Uvaria and suggests a potential for further studies on seeking and developing novel anti-cancer compounds. Key words: Anti-cancer, Uvaria.

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