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- 저자 : 유승학 ( Seung Hak Yu ) (검색결과 3 건)
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단백질 구조 및 기능 분석을 위한 FEATURE 시스템 개선
유승학(Yu, Seung-Hak),윤성로(Yoon, Sung-Roh) 한국전기전자학회 2009 전기전자학회논문지 Vol.13 No.3
FEATURE는 단백질 내에서 특정 기능이나 구조를 가지고 있는 site의 미세환경분포를 이용하여 다른 단백질 내에서 이와 유사한 미세환경을 가지고 있는 부분을 찾아 그 분분이 site일 확률을 수치적으로 제시해 줌으로써 사용자로 하여금 site의 존재 유무와 그 위치를 판단하는데 기준을 제공해주는 유용한 툴이다. 하지만 기존의 FEATURE에서 사용된 데이터 이외의 새로운 단백질 구조 데이터를 FEATURE에 적용하기 위해서는 FEATURE 내부의 module을 입력 데이터 구조에 맞게 수정해야 한다. 그러나 FEATURE 내부의 module 구조를 수정하는 방식이 직관적이지 않기 때문에 많은 연구자들이 FEATURE를 원활하게 사용하지 못하였다. 따라서 본 논문에서는 FEATURE의 내부 구조를 분석하고 FEATURE를 새로운 단백질 데이터에 적용하기 위한 방법을 제시한다. FEATURE is a computational method to recognize functional and structural sites for automatic protein function prediction. By profiling physicochemical properties around residues, FEATURE can characterize and predict functional and structural sites in 3D protein structures in a high-throughput manner. Despite its effectiveness, it has been challenging to apply FEATURE to novel protein data due to limited customization support. To address this problem, we thoroughly analyze the internal modules of FEATURE and propose a methodology to customize FEATURE so that it can be used for new protein data for automatic functional annotations.
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한국형 외래환자분류체계의 개선과 평가: 복수시술 및 항암제 진료와 내과적 방문지표를 중심으로
박하영 ( Ha Young Park ),강길원 ( Gil Won Kang ),윤성로 ( Sung Roh Yoon ),박은주 ( Eun Ju Park ),최성운 ( Sung Woon Choi ),유승학 ( Seung Hak Yu ),양은주 ( Eun Ju Yang ) 한국보건행정학회 2015 보건행정학회지 Vol.25 No.3
Background: Issues concerning with the classification accuracy of Korean Outpatient Groups (KOPGs) have been raised by provid-ers and researchers. The KOPG is an outpatient classification system used to measure casemix of outpatient visits and to adjust pro-vider risk in charges by the Health Insurance Review & Assessment Service in managing insurance payments. The objective of this study were to refine KOPGs to improve the classification accuracy and to evaluate the refinement. Methods: We refined the rules used to classify visits with multiple procedures, newly defined chemotherapy drug groups, and mod-ified the medical visit indicators through reviews of other classification systems, data analyses, and consultations with experts. We assessed the improvement by measuring % of variation in case charges reduced by KOPGs and the refined system, Enhanced KOPGs (EKOPGs). We used claims data submitted by providers to the HIRA during the year 2012 in both refinement and evaluation. Results: EKOPGs explicitly allowed additional payments for multiple procedures with exceptions of packaging of routine ancillary services and consolidation of related significant procedures, and discounts ranging from 30% to 70% were defined in additional payments. Thirteen chemotherapy drug KOPGs were added and medical visit indicators were streamlined to include codes for con-sultation fees for outpatient visits. The % of variance reduction achieved by EKOPGs was 48% for all patients whereas the figure was 40% for KOPGs, and the improvement was larger in data from tertiary and general hospitals than in data from clinics. Conclusion: A significant improvement in the performance of the KOPG was achieved by refining payments for visits with multiple procedures, defining groups for visits with chemotherapy, and revising medical visit indicators.
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