Medication Use and the Risk of Newly Diagnosed Diabetes in Patients with Epilepsy

Sung, Sheng-Feng; Lee, Pei-Ju; Hsieh, Cheng‐Yang; Zheng, Wan-Lun

doi:10.4018/joeuc.2020040105

Cited by 18 publications

(12 citation statements)

References 38 publications

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“…e goals of associated user mining are: Discover accurate and comprehensive associated users in two sparsely overlapping networks. Based on node attributes, neighborhood information, and network global structure information, the author proposes an associated user mining algorithm AUMA-MRL that integrates multiinformation [5]. e algorithm is mainly divided into the following two steps:…”

Section: Associated User Mining Algorithm Integrating User Attributes...mentioning

confidence: 99%

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Wang¹,

Zhang²,

Zhang³

2022

Security and Communication Networks

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To explore how related users can optimize the network mining algorithm, the author proposes a related user mining algorithm based on the fusion of user attributes and user relationships. This method recommends key technical problems and solutions based on information represented by multi-information fusion and explores research on associated user network data mining algorithms. Research has shown that the associated user network data mining algorithm based on multi-information fusion is 65% higher than previous methods. AUMA-MRL has good performance under different network overlaps. Also, since the node embedding of the AUMA-MRL algorithm is obtained by neighborhood sampling, for new nodes in the network, the algorithm can quickly obtain the new node embedding, as well as the similarity vector between the new node and the rest of the nodes in the network, therefore, the associated users of newly added nodes in the network can be quickly mined, and the robustness of the mining algorithm of associated users in the network is enhanced. Compared with the existing classical algorithms, the recall rate of the proposed algorithm is increased by 17.5% on average, which can effectively mine the associated users in the network.

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Section: Associated User Mining Algorithm Integrating User Attributes...mentioning

confidence: 99%

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Wang¹,

Zhang²,

Zhang³

2022

Security and Communication Networks

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“…For the time being, the pressure sore knowledge of community and home caregivers is missing or slow to be updated. Medical IoT can improve the correctness of data and extend the lifetime of network [ 2 ]. Because of the emergent and data-volumetric nature of data in healthcare IoT, the use of an event-driven approach is well suited for the monitoring of unexpected events [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality-Based Analysis of Pressure Ulcer Care Information Related to Medical Equipment for the Prevention of Pressure Ulcer Skin Foam Dressings in the Elderly

Zhao

Tian

et al. 2021

Journal of Healthcare Engineering

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As the standard of life has increased with the advancement of the time, there has been an increasing stress on healthcare with the aging diet, and pressure sores occur in elderly hospitalized subjects. Of course, the emergence of related medical devices, especially auxiliary foam dressings, is constantly improving. Pressure ulcers are extremely harmful to the elderly. The use of virtual reality technology to simulate the treatment of foam excipients is to test the role of medical devices in virtual reality. In particular, the use of foam dressings in the management of pressure deposits is the most relevant study for this paper, which reviews the relevant literature and conducts a thematic study on patients in a specific urban hospital. The relevant materials were designed, the experiments were designed, and the relevant research data were obtained. Studies show that virtual reality-based preventive medical devices can improve the efficiency of pressure ulcer treatment in hospitals by about 12%. Pressure ulcers have different incidences among people of different ages. The probability is much higher than that of adolescents. Foam dressing is very effective in preventing pressure ulcers. The probability of pressure ulcers after using foam dressing is about 35% lower than that when it is not used.

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“…Many data mining models have been proposed such as classification, estimation, predictive modeling, clustering/segmentation, affinity grouping or association rules, description and visualization, as well as sequential modeling. Similarly, many application methods, including association rules, sequential patterns, grouping analysis, classification analysis and probability heuristic analysis have been used in the research of online marketing Pant & Pant, 2018;Sung et al, 2020). Knowledge of mobile payment Apps users extracted through data mining can be obtained through electronic commerce and online recommendations research and then provided to mobile payment businesses, thereby serving as a valuable reference for building their possible business and profit models (Buettner, 2017;Khan et al, 2019).…”

Section: Data Miningmentioning

confidence: 99%

Mobile Payment and Mobile Application (App) Behavior for Online Recommendations

Liao¹,

Ho²

2021

Journal of Organizational and End User Computing

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A mobile application (App) is an application designed to run on a smartphone, tablet, or other mobile device. With the continuous change of mobile payment applications in smart phones and the support of the banking system, the global mobile payment population is increasing. This study examines the behaviors of Taiwan mobile payment and apps users, a total of 1,176 valid questionnaire data is divided into six sections with 29 items for a database design. This study develops a data mining approach, including clustering analysis and association rules, based on a relational database. Thus, this study shows that mobile payment not only can provide payment service but is also a critical mobile application platform for online business. Finally, we show that as users of mobile payment and apps gain additional demand and consumption ability, online operators can gradually put together mobile payment business models to enable future electronic commerce online recommendations.

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Medication Use and the Risk of Newly Diagnosed Diabetes in Patients with Epilepsy

Cited by 18 publications

References 38 publications

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Network Data Mining Algorithm of Associated Users Based on Multi-Information Fusion

Virtual Reality-Based Analysis of Pressure Ulcer Care Information Related to Medical Equipment for the Prevention of Pressure Ulcer Skin Foam Dressings in the Elderly

Mobile Payment and Mobile Application (App) Behavior for Online Recommendations

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