Understanding of Rehabilitation Nursing based on Academic Big Data Analysis

배정호,; 범은애,

doi:10.7587/kjrehn.2020.105

Cited by 3 publications

(2 citation statements)

References 10 publications

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“…This role is akin to the "researcher" role suggested by the ARN [8]. It is not only nurses that hold this view; other healthcare professionals who participated in this study expressed that despite the pressing need for research in pediatric rehabilitation nursing in clinical settings, it has remained limited [23,24]. In Korea, the Korean Academic Society of Rehabilitation Nursing, founded in 1997, has been dedicated to defining the roles of rehabilitation nurses and providing professional education [25].…”

Section: Discussionmentioning

confidence: 99%

An Exploratory Analysis of the Roles of Nurses on a Pediatric Rehabilitation Unit in South Korea Perceived by Pediatric Rehabilitation Professionals

Lee,

Kim,

Han

2024

Healthcare

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Rehabilitation addresses not only children’s disabilities but also their physical, psychological, social, and cultural impairments. Hence, pediatric rehabilitation adopts a multidisciplinary approach; it encompasses the vital role of not only physicians and rehabilitation therapists, but also of nurses. This study conducts a content analysis of the experiences of healthcare professionals specializing in pediatric rehabilitation to explore the roles nurses working on pediatric rehabilitation units are expected to perform. After analyzing the interviews with 12 experts in pediatric rehabilitation, the roles of pediatric rehabilitation nurses were broadly categorized into five areas (caregivers, team members, counselors, researchers, and educators) with eight sub-groups and 24 specific roles. This study is significant because it provides profound insights into the roles of pediatric rehabilitation nurses in Korea. These insights can serve as foundational data for formulating policies for healthcare personnel in pediatric rehabilitation, and provide evidence for establishing a much-needed system for certified rehabilitation nurses in Korea.

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Section: Discussionmentioning

confidence: 99%

An Exploratory Analysis of the Roles of Nurses on a Pediatric Rehabilitation Unit in South Korea Perceived by Pediatric Rehabilitation Professionals

Lee,

Kim,

Han

2024

Healthcare

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“…It is not yet possible to perform simple classification, calculation, and other operations on the data. The concepts of big data and cloud computing are often confused [20,21]. In fact, big data refers to the collection of data, and cloud computing refers to the calculation method, but this calculation method is only for big data.…”

Section: Methods Of Constructing An E-commerce Bigmentioning

confidence: 99%

Hybrid IoT and Data Fusion Model for e-Commerce Big Data Analysis

Liu

2022

Wireless Communications and Mobile Computing

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This article is aimed at studying the e-commerce big data recommendation model based on data fusion and the Internet of Things. This article chooses an embedded system for the construction of an e-commerce platform and uses data fusion technology to collect, transmit, and filter useful information from various information sources. Then, the collected information and data are analyzed and integrated, and visualization algorithms are used to better present data analysis, and association rules and structural similarity methods for electronic comparison are uses. This article uses the B/S architecture to design the overall framework of the data access layer, business logic layer, and user presentation layer; collects, organizes, stores, and presents the acquired consumer information; and finally analyzes the e-commerce background, platform performance, and supply and demand analysis. The experimental results show that the average clustering coefficient of the platform (0.7559) is smaller than the average clustering coefficient value of 8 items in the store (0.811) and smaller than the average network diameter and average path length of the online store (3.86, 7.7). Store products are better than store products, and the diameter and length of the product should be larger (2.71, 5.75). The recall rate of the e-commerce big data platform and model matching review method designed in this paper is 5% higher than that of the word matching model method and has a better expected effect in terms of user supply and demand.

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