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TÜRKELİ, SERKAN

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Subject: Engineering and Technology ×

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Now showing 1 - 2 of 2
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    PublicationOpen Access
    A Novel Framework for Extracting Knowledge Management from Business Intelligence Log Files in Hospitals
    (2022-06-01) TÜRKELİ, SERKAN; Türkeli S., Ozaydin F.
    This paper proposes a framework to extract knowledge-management elements from business systems in healthcare organizations. According to results of in-depth interviews with experts in the field, a framework is defined, and software was developed to generate log files. Following the application of the Bag of Words (BoW) method on log files of 455 days for feature extraction, the k-means algorithm was used to cluster the feature vectors. The framework was tested with queries for confirmation. The developed framework successfully clustered the generated reports at operational, tactical, and strategic levels to extract knowledge-management elements. This study provides evidence for the knowledge-management pyramid by finding that the generated reports are reviewed mostly at the operational level, then tactical, and then the least at the strategic level. Our framework has the potential to be used not only in the health sector, but also in banking, insurance, and other businesses using business intelligence, especially in accordance with the organization\"s goals at operational, tactical, and strategic levels of the knowledge-management pyramid.
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    PublicationOpen Access
    IoT-Enabled Design and Implementation of an Endotracheal Tube Cuff Pressure Controller Device
    (2024-01-01) TÜRKELİ, SERKAN; Türkeli S.
    This work presents the design and implementation of an IoT enabled Endotracheal Tube Cuff Pressure Controller Device. This device, a fusion of electronics, control, and software engineering, aims to automatically regulate the cuff pressure of an Endotracheal Tube placed in a patient’s trachea, ensuring that it remains within the optimal pressure range. The ideal pressure range, established to be between 20-30 cmH2O, can be adjusted to accommodate different patients’ needs. The device is designed as an IoT device and includes an emergency button for shutting down the system in case of an emergency. The total cost of the system, which amounts to approximately 70 USD, makes it a cost-effective solution compared to other commercially available options. In order to verify the device’s capability to accurately read and supply pressure, it is benchmarked against the gold standard (Fluke 729 300G FC) using quantitative tests including Pearson’s r test, the paired t-test, and Bland-Altman analysis. The results from these assessments confirmed that the performance characteristics of the device are notably comparable to the Fluke 729 300G FC, which will be further examined in this study. These outcomes, along with the device’s economic viability, validate it as a workable and reasonable alternative. The necessity for an automated and continuous monitoring system is further reinforced by the fact that manual cuff pressure measurement is prone to error and may even put the patient through discomfort.