Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

Ma, Xiao; Wang, Zie; Zhou, Sheng; Wen, Haoyu; Zhang, Yin

doi:10.1109/iwcmc.2018.8450377

Cited by 32 publications

(15 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…De Mauro et al (2018) proposed a classification of job roles and skill sets needed in the BD and AI era. This classification provides valuable support for business leaders and human resource managers in the selection process and in developing the skills needed to make the most of BD [72,128].…”

Section: Big Data and Analytical Skillsmentioning

confidence: 99%

Towards the Use of Big Data in Healthcare: A Literature Review

et al. 2022

View full text Add to dashboard Cite

The interest in new and more advanced technological solutions is paving the way for the diffusion of innovative and revolutionary applications in healthcare organizations. The application of an artificial intelligence system to medical research has the potential to move toward highly advanced e-Health. This analysis aims to explore the main areas of application of big data in healthcare, as well as the restructuring of the technological infrastructure and the integration of traditional data analytical tools and techniques with an elaborate computational technology that is able to enhance and extract useful information for decision-making. We conducted a literature review using the Scopus database over the period 2010–2020. The article selection process involved five steps: the planning and identification of studies, the evaluation of articles, the extraction of results, the summary, and the dissemination of the audit results. We included 93 documents. Our results suggest that effective and patient-centered care cannot disregard the acquisition, management, and analysis of a huge volume and variety of health data. In this way, an immediate and more effective diagnosis could be possible while maximizing healthcare resources. Deriving the benefits associated with digitization and technological innovation, however, requires the restructuring of traditional operational and strategic processes, and the acquisition of new skills.

show abstract

Section: Big Data and Analytical Skillsmentioning

confidence: 99%

Towards the Use of Big Data in Healthcare: A Literature Review

et al. 2022

View full text Add to dashboard Cite

show abstract

“…First method is to build a unified project cost information data collection template, collect and import the relevant data in the platform according to the user-defined unified specifications, so as to directly convert the target cost data information and store it in the local database for backup. The second method is to set up fields conforming to certain specifications on the relevant cost information platform, collect the information of the same field and store it in the local database [22].…”

Section: Acquisition Of Project Cost Datamentioning

confidence: 99%

Intelligent analysis and processing technology of big data based on clustering algorithm

Zhang

Cao

Gao³

et al. 2022

IJCAI

View full text Add to dashboard Cite

An attribute category clustering method based on hierarchical clustering is proposed in order to study the big data intelligent analysis and processing technology. The proposed model combines the attribute categories with similar fault type distribution, reduces the data dimension, and binarizes it. To address the problem of more missing values of continuous data, a data completion method based on attribute distribution function is adopted. Through the perspective of selection and estimation of project unit price in construction enterprises, this paper summarizes the data mining process facing the characteristics of project cost data, and puts forward the method of analyzing and processing project cost data based on clustering algorithm. Finally, the processed data sets are subjected to bottom-up hierarchical clustering analysis, and finally the ideal analysis results can be obtained. The experimental results show that the preprocessing method based on attribute clustering proposed in this paper can effectively merge attributes, reduce the dimension after binary transformation and effectively reduce the amount of data under the condition of ensuring data information.Povzetek: S hierarhičnim gručenjem je narejena inteligentna analiza velikih podatkov.

show abstract

“…Mobile computing is a type of new technology that enables computers and other information devices to send data without any physical connection to a fixed device. Internet of ings is an intelligent sensing technology that provides vital support for sending and receiving of mobile medical support [44]. e mobile computing affects the IoT by providing various services, applications, and devices.…”

Section: S Nomentioning

confidence: 99%

Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review

Nazir

Ali

Ullah

et al. 2019

Wireless Communications and Mobile Computing

147

View full text Add to dashboard Cite

The impact of Internet of Things has been revolutionized in all fields of life, but its impact on the healthcare system has been significant due to its cutting edge transition. The role of Internet of Things becomes more dominant when it is supported by the features of mobile computing. The mobile computing extends the functionality of IoT in healthcare environment by bringing a massive support in the form of mobile health (m-health). In this research, a systematic literature review protocol is proposed to study how mobile computing assists IoT applications in healthcare, contributes to the current and future research work of IoT in the healthcare system, brings privacy and security in health IoT devices, and affects the IoT in the healthcare system. Furthermore, the intentions of the paper are to study the impacts of mobile computing on IoT in healthcare environment or smart hospitals in light of our systematic literature review protocol. The proposed study reports the papers that were included based on filtering process by title, abstract, and contents, and a total of 116 primary studies were included to support the proposed research. These papers were then analysed for research questions defined for the proposed study.

show abstract

Intelligent Healthcare Systems Assisted by Data Analytics and Mobile Computing

Cited by 32 publications

References 25 publications

Towards the Use of Big Data in Healthcare: A Literature Review

Towards the Use of Big Data in Healthcare: A Literature Review

Intelligent analysis and processing technology of big data based on clustering algorithm

Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review

Contact Info

Product

Resources

About