• 베이커리
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• no.8 s.397
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• pp.62-69
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• 2001

• 베이커리
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• no.4 s.417
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• pp.74-74
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• 2003

• 베이커리
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• no.4 s.381
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• pp.70-71
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• 2000

• 베이커리
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• no.2 s.355
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• pp.26-41
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• 1998

• Korean Journal of Psychosomatic Medicine
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• v.27 no.2
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• pp.101-110
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• 2019

Objectives : It is not clear which clinical variables are most closely associated with delirium in the Intensive Care Unit (ICU). By comparing clinical data of ICU delirium and non-delirium patients, we sought to identify variables that most effectively differentiate delirium from non-delirium. Methods : Medical records of 6,386 ICU patients were reviewed. Random Subset Feature Selection and Principal Component Analysis were utilized to select a set of clinical variables with the highest discriminatory capacity. Statistical analyses were employed to determine the separation capacity of two models-one using just the selected few clinical variables and the other using all clinical variables associated with delirium. Results : There was a significant difference between delirium and non-delirium individuals across 32 clinical variables. Richmond Agitation Sedation Scale (RASS), urinary catheterization, vascular catheterization, Hamilton Anxiety Rating Scale (HAM-A), Blood urea nitrogen, and Acute Physiology and Chronic Health Examination II most effectively differentiated delirium from non-delirium. Multivariable logistic regression analysis showed that, with the exception of vascular catheterization, these clinical variables were independent risk factors associated with delirium. Separation capacity of the logistic regression model using just 6 clinical variables was measured with Receiver Operating Characteristic curve, with Area Under the Curve (AUC) of 0.818. Same analyses were performed using all 32 clinical variables;the AUC was 0.881, denoting a very high separation capacity. Conclusions : The six aforementioned variables most effectively separate delirium from non-delirium. This highlights the importance of close monitoring of patients who received invasive medical procedures and were rated with very low RASS and HAM-A scores.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.36 no.1
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• pp.163-172
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• 2020

This study is a case study for in-house developed Record Maintenance and Management (RMMS) which is a digital data storage/retrieval system in a GIS-enabled solution. RMMS is designed for reorganizing submitted architectural drawings associated with scanned drawings files & geodatabase, managing metadata/table and geometric features in ArcSDE/Enterprise geodatabase format. The birth of the RMMS was borne out of a necessity for a modernized approach in digital file basis to provide improved customer services for various architectural drawings and associated with geo-spatial and its attribute information. Through a case study for building permit & review practice implemented on an internet-based Electronic Architectural administration Information System (EAIS) at the local governments in Korea, this study is able to derive differences between GIS-enabled RMMS system implemented in the Richmond City and internet-based EAIS system implemented in the local government in Korea. In an effort to be the most effective, it presents meaningful ways of maximizing efficiency in record maintenance & management system derived from the case studies that looked into in ways of a method in RMMS' operation, implementation on GIS platform, mutual interface among various programs with various digital files and finally technical supports and system development /upgrade.