Electronic Solutions for Artificial Intelligence Healthcare

Ko, Hyungduk

doi:10.3390/electronics10192421

Cited by 4 publications

(4 citation statements)

References 25 publications

(50 reference statements)

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“…In the field of specialized treatment, in addition to diagnosing a patient's disease and providing treatment based on professional medical knowledge, studies have recently been conducted on recommending an appropriate diet in response to patient information such as disease, age, gender and weight, individual nutritional expectations, and food preference [132][133][134]. The study by Iwendi et al [133] proposed deep learning solutions that use various Neural Network techniques, such as Logistic Regression and Recurrent Neural Network, to share information among patients with the same disease and recommend which kind of diet they should follow.…”

Section: Cfmentioning

confidence: 99%

A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields

et al. 2022

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This paper reviews the research trends that link the advanced technical aspects of recommendation systems that are used in various service areas and the business aspects of these services. First, for a reliable analysis of recommendation models for recommendation systems, data mining technology, and related research by application service, more than 135 top-ranking articles and top-tier conferences published in Google Scholar between 2010 and 2021 were collected and reviewed. Based on this, studies on recommendation system models and the technology used in recommendation systems were systematized, and research trends by year were analyzed. In addition, the application service fields where recommendation systems were used were classified, and research on the recommendation system model and recommendation technique used in each field was analyzed. Furthermore, vast amounts of application service-related data used by recommendation systems were collected from 2010 to 2021 without taking the journal ranking into consideration and reviewed along with various recommendation system studies, as well as applied service field industry data. As a result of this study, it was found that the flow and quantitative growth of various detailed studies of recommendation systems interact with the business growth of the actual applied service field. While providing a comprehensive summary of recommendation systems, this study provides insight to many researchers interested in recommendation systems through the analysis of its various technologies and trends in the service field to which recommendation systems are applied.

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Section: Cfmentioning

confidence: 99%

A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields

et al. 2022

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“…Another study was conducted to confirm the importance of leg muscle strength and to provide rehabilitation programs that can be performed at home for patients with weak leg muscle strength using an online system. Methods have also been studied using related robotics and IoT technologies, and various attempts are being made to solve some of the rehabilitation-related processes that do not have to be performed by medical personnel or in hospitals [ 40 , 41 , 42 , 43 ]. Patients rely on rehabilitation treatment to return to their daily lives, and rehabilitation through exercise is an essential factor in medical practice because it provides various solutions along with medication.…”

Section: Related Workmentioning

confidence: 99%

Design of a Diagnostic System for Patient Recovery Based on Deep Learning Image Processing: For the Prevention of Bedsores and Leg Rehabilitation

Choi

Jang

2022

Diagnostics

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Worldwide COVID-19 infections have caused various problems throughout different countries. In the case of Korea, problems related to the demand for medical care concerning wards and doctors are serious, which were already slowly worsening problems in Korea before the COVID-19 pandemic. In this paper, we propose the direction of developing a system by combining artificial intelligence technology with limited areas that do not require high expertise in the rehabilitation medical field that should be improved in Korea through the prevention of bedsores and leg rehabilitation methods. Regarding the introduction of artificial intelligence technology, medical and related laws and regulations were quite limited, so the actual needs of domestic rehabilitation doctors and advice on the hospital environment were obtained. Satisfaction with the test content was high, the degree of provision of important medical data was 95%, and the angular error was within 5 degrees and suitable for recovery confirmation.

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“…Healthcare and nursing for the aged is a wide-range topic requiring multidisciplinary research [18][19][20][21][22][23]. This paper proposes a sustainable and human-centered system focusing on how to care for the safety of elderly people in nursing homes.…”

Section: Introductionmentioning

confidence: 99%

A Sustainable, Interactive Elderly Healthcare System for Nursing Homes: An Interdisciplinary Design

Yang

Wang

et al. 2022

Sustainability

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Population ageing becomes a perplexing conundrum with social and economic development. Many senior citizens are now empty nesters because the younger generation prefer to stay in metropolises for a better life. Therefore, living in a nursing home is a popular choice for the aged. This objective-oriented paper proposes a sustainable elderly healthcare system for nursing homes. The main work is the design and implementation of a new rapid and interactive assistance service. Based on cost-effective fingerprint indoor-positioning technology, the alert message that a person is at risk will be immediately sent to nearby people before professionals arrive. Warning messages are available when nearing marked areas (e.g., slippery floors). The parallel path-finding algorithm plays a significant role in finding nearby people and alerting people who approach specific areas. Furthermore, this system provides application programming interfaces to connect to health devices, such as smart bracelets, watches, and glasses. In general, the system is designed to ensure the safety of the elderly and improve management efficiency, which corresponds to present smart elderly care proposals from governments.

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Electronic Solutions for Artificial Intelligence Healthcare

Abstract: At present, diverse, innovative technology is used in electronics and ubiquitous computing environments. [...]

Cited by 4 publications

References 25 publications

A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields

A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields

Design of a Diagnostic System for Patient Recovery Based on Deep Learning Image Processing: For the Prevention of Bedsores and Leg Rehabilitation

A Sustainable, Interactive Elderly Healthcare System for Nursing Homes: An Interdisciplinary Design

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