• 한국전문물리치료학회지
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• 제25권1호
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• pp.39-46
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• 2018

Background: The Berg Balance Scale (BBS) and the Fullerton Advanced Balance (FAB) scale have been used to assess balance function in patients with chronic stroke. These clinical balance scales provide information about potential risk factors for falls. Objects: The purpose of this study was to investigate the incidence of and risk factors of falls and compare the predictive values of the BBS and FAB scale relative to fall risk in patients with stroke through receiver operating characteristic analysis. Methods: Sixty-three patients with stroke (faller=34, non-faller=29) who could walk independently for 10 meters participated in this study. The BBS and FAB scale were administered. Then, we verified the cut-off score, sensitivity, specificity, and the area of under the curve. Results: In this study, the BBS and FAB scale did not predict fall risk in patients with stroke in the receiver operator characteristic curve analysis. A cut-off score of 37.5 points provided sensitivity of .47 and specificity of .35 on the BBS, and a cut-off score of 20.5 points provided sensitivity of .44 and specificity of .45 on the FAB scale. Conclusion: The BBS and FAB scale were not useful screening tools for predicting fall risk in patients with stroke in this study, but those who scored 37.5 or lower on the BBS and 20.5 or lower on the FAB scale had a high risk for falls.

• Communications for Statistical Applications and Methods
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• 제27권2호
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• pp.211-224
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• 2020

Sensitivity and specificity are popular measures described by the receiver operating characteristic (ROC) curve. There are also two other measures such as the positive predictive value (PPV) and negative predictive value (NPV); however, the PPV and NPV cannot be represented by the ROC curve. Based on the total operating characteristic (TOC) curve suggested by Pontius and Si (International Journal of Geographical Information Science, 97, 570-583, 2014), explanatory methods are proposed to geometrically describe the PPV and NPV by the TOC curve. It is found that the PPV can be regarded as the slope of the right-angled triangle connecting the origin to a certain point on the TOC curve, while 1 - NPV can be represented as the slope of the right-angled triangle connecting a certain point to the top right corner of the TOC curve. When the neutral zone exists, the PPV and 1-NPV can be described as the slopes of two other right-angled triangles of the TOC curve. Therefore, both the PPV and NPV can be estimated using the TOC curve, whether or not the neutral zone is present.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권3호
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• pp.263-267
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• 2005

Building classifiers for financial real-world classification problems is often plagued by severely overlapping and highly skewed class distribution. New performance measures such as receiver operating characteristic (ROC) curve and area under ROC curve (AUC) have been recently introduced in evaluating and building classifiers for those kind of problems. They are, however, in-effective to evaluation of classifier's discrimination performance in a particular class of the classification problems that interests lie in only a local operating range of the classifier, In this paper, a new method is proposed that enables us to directly improve classifier's discrimination performance at a desired local operating range by defining and optimizing a partial area under ROC curve or domain-specific curve, which is difficult to achieve with conventional classification accuracy based learning methods. The effectiveness of the proposed approach is demonstrated in terms of fraud detection capability in a real-world fraud detection problem compared with the MSE-based approach.

• 융합신호처리학회논문지
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• 제12권2호
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• pp.113-118
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• 2011

본 논문에서는 무선센서네트워크에서 이루어지는 협동적 센서융합을 이용한 화자성별분류를 제안하였다. 센서노드들은 BER(Band Energy Ratio) 기반 음성활동검출을 수행함으로써 불필요한 입력 데이터는 제거하고 관련성이 높은 데이터만을 처리 및 경판정한다. 개별적 센서노드에서 생성된 경판정 값들은 융합센터로 송신되고 전역적 결정 융합을 구축하기 때문에 전력 소모를 줄이고 네크워크 자원을 절약한다. 화자성별분류를 위한 센서융합기법으로써 베이시안(Bayesian) 센서융합 및 전역적 가중결정융합가법들이 제안되었다. 베이시안 센서융합의 경우, 배치되는 센서노드 수 변화에 따른 ROC(Receiver Operating Characteristic) 커브의 동작점을 통해 개별 센서노드 레벨에서 얻어진 경판정 값들을 처리하고 최적의 분류 융합을 결정한다. 전역적 결정을 위한 가중치로써 BER 및 MCL(Mutual Confidence Level)을 채택하여 개별적 지역 경판정 값들을 효율적으로 결합 및 융합시킨다. 센서 노드의 수가 증가함에 따라 분류화 성능이 개선되어졌으며 특히 낮은 SNH(Signal to Noise Ratio) 환경에서 성능 개선폭이 더 높게 나타남을 실험적으로 확인하였다.

• 한국음향학회지
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• 제41권2호
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• pp.199-209
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• 2022

일반적인 비정상 탐지 알고리즘은 사전 데이터를 이용하여 학습된다. 따라서 시간에 따른 정상 데이터의 특징이 변화되는 경우에 기존의 배치 학습 기반 알고리즘의 성능 저하가 불가피하다. 본 논문에서는 정상 데이터의 점진적 특징 변화를 고려할 수 있는 온라인 비정상 탐지 알고리즘을 제안한다. 제안하는 알고리즘은 단일 클래스 분류 모델에 기반하며 오프라인 및 온라인 단계의 학습 과정을 포함한다. 제안된 알고리즘의 오프라인 학습 단계에서는 사전 데이터가 잠재 공간의 중심에 근접하도록 학습하고, 이후 온라인 학습단계에서는 신규 데이터에 의한 점진적 잠재 공간의 중심을 갱신하고, 갱신된 중심을 기준으로 계속 학습을 진행한다. 공개된 수중 음향 데이터를 이용한 실험결과 제안된 온라인 비정상 탐지 알고리즘은 점진적 중심 갱신 및 학습을 위해 단지 2 % 정도의 추가 학습시간이 소요되는 것으로 확인되었다. 반면에 시변 정상데이터가 수신되는 경우에 오프라인 학습 모델과 비교하여 19.10 % 개선된 Area Under the receiver operating characteristic Curve(AUC) 성능을 보였다.

• 대한수의사회지
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• 제36권2호
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• pp.121-134
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• 2000

의학적 진단에서 검사결과가 연속형으로 측정되는 예는 매우 많다. 예를 들어 ELISA검사, 혈청화학적 검사, 방사선 검사 (이 경우에는 음성, 의양성, 양성등의 척도로 표현될 수 있음) 등에서는 적절한 기준을 설정한 후 이 기준점을 근거로 양성과 음성으로 판정하게 된다. 여기에서 한 가지 문제는 기준점 설정에 있다. 소위 정상 혹은 참고범위 (normal or reference range)가 분명히 있는 경우라고 실제 판정에 있어서는 질별이 없음에도 불구하고 검사결과 질병이 있는 것으로 판정할 오류 (혹은 그 반대)가 분명히 존재한다. 본 논문에서는 이러한 상황에서 접근할 수 있는 한가지 방법인 ROC 곡선에 대하여 설명하고자 한다.

• 대한핵의학회:학술대회논문집
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• 대한핵의학회 2001년도 제40차 추계학술대회 및 총회
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• pp.33.3-33.3
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• 2001

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 1994년도 교수 연수회(역학)
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• pp.150-153
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• 1994

Receiver operating characteristic (ROC) curves have been frequently used to compare probability models applied to medical problems. Though the curves are a measure of the discriminatory power of a model. they do not reflect the model's accuracy. A supplementary accuracy curve is derived which will be coincident with the ROC curve if the model is reliable. will be above the ROC curve if the model's probabilities are too high or below if they are too low. A clinical example of this new graphical presentation is given.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2018년도 하계 학술발표초록집
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• pp.114-114
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• 2018

• 한국전문물리치료학회지
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• 제23권4호
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• pp.63-70
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• 2016

Background: The Pediatric Balance Scale (PBS) and the Fullerton Advanced Balance (FAB) scale were used to assess balance function in patients with balance problem. These multidimensional clinical balance scales provide information about potential risk factors for falls. Objects: The purpose of this study was to investigate and compare the predictive properties of the PBS and FAB scales relative to fall risk in children with cerebral palsy (CP) using a receiver operating characteristic analysis. Methods: In total, 49 children with CP (boy=21, girl=28) who were diagnosed with level 1 or 2 according to the Gross Motor Function Classification System participated in this study. The PBS and FAB were performed, and verified cut-off score, sensitivity, specificity, and the area of under the curve (AUC). Results: In this study, the PBS scale was as a predictive measure of fall risk, but the FAB was not significant in children with CP. A cut-off score of 45.5 points provided optimal sensitivity of .90 and specificity of .69 on the PBS, and a cut-off score of 21.5 points provided optimal sensitivity of .90 and specificity of .62 on the FAB. Both scales showed moderately accurate of AUC with .79 and .76, respectively. Conclusion: The PBS is a useful screening tool for predicting fall risk in children with cerebral palsy, and those who score 45.5 or lower indicate a high risk for falls and are in need of balance intervention.