Smart Healthcare

Zhao, Wenbing; Luo, Xiong; Qiu, Tie

doi:10.3390/app7111176

Cited by 26 publications

(9 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The early visionaries [11][12][13][14][15] depicted the Smart Cities of the future as fully connected urban communities supported by various forms of pre-deployed infrastructure, such as sensor networks, ubiquitous and pervasive wireless communication infrastructure, powerful computing and storage devices, and multi-modal programmable sensor nodes. As depicted in Figure 1, the Smart City will leverage this infrastructure to deliver numerous "smart services" including smart healthcare [16][17][18], smart homes [19,20], smart transportation [21,22], smart workplaces [23], smart government [24,25], among many others. In modern terminology, the Smart Cities are all instances of Cyber-Physical Systems (CPS) wherein the cyber and physical components feed, condition, and learn from each other.…”

Section: Smart Cities-how It All Startedmentioning

confidence: 99%

A Survey of Enabling Technologies for Smart Communities

Iqbal

Olariu

2020

Smart Cities

View full text Add to dashboard Cite

In 2016, the Japanese Government publicized an initiative and a call to action for the implementation of a “Super Smart Society” announced as Society 5.0. The stated goal of Society 5.0 is to meet the various needs of the members of society through the provisioning of goods and services to those who require them, when they are required and in the amount required, thus enabling the citizens to live an active and comfortable life. In spite of its genuine appeal, details of a feasible path to Society 5.0 are conspicuously missing. The first main goal of this survey is to suggest such an implementation path. Specifically, we define a Smart Community as a human-centric entity where technology is used to equip the citizenry with information and services that they can use to inform their decisions. The arbiter of this ecosystem of services is a Marketplace of Services that will reward services aligned with the wants and needs of the citizens, while discouraging the proliferation of those that are not. In the limit, the Smart Community we defined will morph into Society 5.0. At that point, the Marketplace of Services will become a platform for the co-creation of services by a close cooperation between the citizens and their government. The second objective and contribution of this survey paper is to review known technologies that, in our opinion, will play a significant role in the transition to Society 5.0. These technologies will be surveyed in chronological order, as newer technologies often extend old technologies while avoiding their limitations.

show abstract

Section: Smart Cities-how It All Startedmentioning

confidence: 99%

A Survey of Enabling Technologies for Smart Communities

Iqbal

Olariu

2020

Smart Cities

View full text Add to dashboard Cite

show abstract

“…Since the whole application depends on complete and accurate information about each service provided by a treatment facility, efficient user interfaces are needed to help treatment facilities understand every step of the sign-up process. The following lists the characteristics for treatment facilities as part of the application: (1) To easily register one or more services at a time; (2) To easily understand the complete flow of registration; (3) To show bird's eye view of huge dataset of services to select from; (4) To provide data completion progress indicators; (5) To provide feedback on all important step; (6) To remind the contact persons to update the information periodically; (7) To provide an easy and efficient interface to contact persons; (8) To easily manage and update each service detail; (9) To easily navigate between services; (10) To provide good security on the data that they are entering; (11) To secure the administrator's account with best practices in user authentication; (12) To provide an email notification each time the account information changes; (13) To provide all the utilities to completely authorize a contact person to add a service or update a service; (14) To secure the administrator's account from cyberattacks.…”

Section: User Requirement Studiesmentioning

confidence: 99%

“…Thus, there is an urgent need for a centralized system that enables dynamical update of such information by the treatment facilities so that patients can find up-to-date and accurate information for the best treatment available. Studies indicate that improved efficiency in delivering care can shorten the wait time for patients in ambulatory and community health services [11][12][13][14]. This article presents the design and implementation of a web application, which we refer to as DrugHelp.Care, that fills this need.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of a Web Application for Matching Drug Addiction Treatment Services with Substance Users

Hiriyanna¹,

Tedor

Stoddard-Dare

et al. 2018

ASI

Self Cite

View full text Add to dashboard Cite

One of the current and biggest problems in the system of emergency care for the drug overdose epidemic is the failure of information delivery on nearby treatment facilities. Even though some initiatives have tried to solve this issue, they either failed in delivering the information or in providing good usability. This paper presents the design and development of a web application that we refer to as DrugHelp.Care. This application delivers highly accurate, easy-to-understand, and targeted information in a timely manner for substance users and their well-wishers. It also provides an ecosystem for the treatment facilities with an easy-to-use interface to constantly update their complex information along with automatic email reminders and data completion progress indicators. Based on the requirements we have collected from substance users and treatment facilities, the application is designed and developed using the LAMP stack. A search engine for the substance users and their well-wishers preserves complete anonymity, which is very important to ensure the confidentiality of substance users.

show abstract

“…Atmospheric data collected in real time are used in many applications for various purposes such as healthcare [1] and combatting natural disasters [2]. For this reason, the stability of collected atmospheric data is of high importance.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning

Kim

Park²,

Choi³

et al. 2020

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

We propose three quality control (QC) techniques using machine learning that depend on the type of input data used for training. These include QC based on time series of a single weather element, QC based on time series in conjunction with other weather elements, and QC using spatiotemporal characteristics. We performed machine learning-based QC on each weather element of atmospheric data, such as temperature, acquired from seven types of IoT sensors and applied machine learning algorithms, such as support vector regression, on data with errors to make meaningful estimates from them. By using the root mean squared error (RMSE), we evaluated the performance of the proposed techniques. As a result, the QC done in conjunction with other weather elements had 0.14% lower RMSE on average than QC conducted with only a single weather element. In the case of QC with spatiotemporal characteristic considerations, the QC done via training with AWS data showed performance with 17% lower RMSE than QC done with only raw data.

show abstract

Smart Healthcare

Cited by 26 publications

References 22 publications

A Survey of Enabling Technologies for Smart Communities

A Survey of Enabling Technologies for Smart Communities

Design and Development of a Web Application for Matching Drug Addiction Treatment Services with Substance Users

Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine Learning

Contact Info

Product

Resources

About