• 제목/요약/키워드: Area under the curve

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저장탄약 신뢰성분류 인공신경망모델의 학습속도 향상에 관한 연구 (Study on Improving Learning Speed of Artificial Neural Network Model for Ammunition Stockpile Reliability Classification)

  • 이동녁;윤근식;노유찬
    • 한국산학기술학회논문지
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    • 제21권6호
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    • pp.374-382
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    • 2020
  • 본 연구에서 저장탄약 신뢰성평가(ASRP: Ammunition Stockpile Reliability Program)의 데이터 특성을 고려하여 입력변수를 줄이는 정규화기법을 제안함으로써 분류성능의 저하 없이 저장탄약 신뢰성분류 인경신경망모델의 학습 속도향상을 목표로 하였다. 탄약의 성능에 대한 기준은 국방규격(KDS: Korea Defense Specification)과 저장탄약 시험절차서(ASTP: Ammunition Stockpile reliability Test Procedure)에 규정되어 있으며, 평가결과 데이터는 이산형과 연속형 데이터가 복합적으로 구성되어 있다. 이러한 저장탄약 신뢰성평가의 데이터 특성을 고려하여 입력변수는 로트 추정 불량률(estimated lot percent nonconforming) 또는 고장률로 정규화 하였다. 또한 입력변수의 unitary hypercube를 유지하기 위하여 최소-최대 정규화를 2차로 수행하는 2단계 정규화 기법을 제안하였다. 제안된 2단계 정규화 기법은 저장탄약 신뢰성평가 데이터를 이용하여 비교한 결과 최소-최대 정규화와 유사하게 AUC(Area Under the ROC Curve)는 0.95 이상이었으며 학습속도는 학습 데이터 수와 은닉 계층의 노드 수에 따라 1.74 ~ 1.99 배 향상되었다.

불균형 자료에 대한 분류분석 (Classification Analysis for Unbalanced Data)

  • 김동아;강수연;송종우
    • 응용통계연구
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    • 제28권3호
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    • pp.495-509
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    • 2015
  • 일반적인 2집단 분류(2-class classification)의 경우, 두 집단의 비율이 크게 차이나지 않는 경우가 많다. 본 논문에서는 두 집단의 비율이 크게 차이나는 불균형 데이터(unbalanced data)의 분류 문제에 대해서 다루고자 한다. 불균형 데이터의 분류방법은 균형이 맞는 데이터(balanced data)의 경우보다 분류하기 어려운 경우가 많다. 이런 자료에서 보통의 분류모형을 적용하게 되면 많은 경우에 대부분의 관측치가 큰 집단으로 분류 되는 경우가 많은데 실질적인 어플리케이션에서는 이런 오분류가 손해가 더 큰 경우가 대부분이다. 우리는 sampling 기법을 이용하여 다양한 분류 방법론의 성능을 비교 분석 하였다. 또한 비대칭 손실(asymmetric loss)을 가정한 경우에 어떤 방법론이 가장 작은 loss를 생성하는 지를 비교하였다. 성능 비교를 위해서는 오분류율(misclassification rate), G-mean, ROC, 그리고 AUC(Area under the curve) 등을 이용하였다.

Effects of feed intake and water hardness on fluralaner pharmacokinetics in layer chickens

  • Sari, Ataman Bilge;Gunes, Yigit;Anlas, Ceren;Alkan, Fulya Ustun;Guncum, Enes;Ustuner, Oya;Bakirel, Tulay
    • Journal of Veterinary Science
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    • 제23권5호
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    • pp.64.1-64.9
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    • 2022
  • Background: Fluralaner is a novel drug belonging to the isoxazoline class that acts on external parasites of domestic animals. It is used systemically via drinking water, especially against red poultry mite in layer chickens. Fluralaner is frequently used in layers infected with D. gallinae. However, no study to date has investigated the effects of feed intake and water hardness. Objectives: This study aimed to investigate the effects of variable water hardness and feed intake on the pharmacokinetic profile of fluralaner. Methods: Layer chickens were divided into four groups (n = 8): fed + purified water (Group 1), feed restricted + purified water (Group 2), feed restricted + hard water (Group 3), and feed restricted + soft water (Group 4). After administering a single dose of the drug with drinking water, the blood samples were collected for 21 days. Fluralaner concentrations in plasma samples were determined by liquid chromatography/tandem mass spectrometry. The maximum plasma concentration (Cmax), time to reach maximum plasma concentration (tmax), area under the concentration-time curve values (AUC0-21d), half-life (t1/2), and other pharmacokinetic parameters were calculated. Results: Although the highest maximum plasma concentration (Cmax) was determined in Group 1 (fed + purified water), no statistically significant difference was found in the Cmax, tmax, t1/2, MRT0-inf_obs, Vz/Fobs, and Cl/F_obs parameters between the experimental groups. Conclusions: It was concluded that the feed intake or water hardness did not change the pharmacokinetic profile of fluralaner in layer chickens. Therefore, fluralaner could be used before or after feeding with the varying water hardness in poultry industry.

Model Development for Specific Degradation Using Data Mining and Geospatial Analysis of Erosion and Sedimentation Features

  • Kang, Woochul;Kang, Joongu;Jang, Eunkyung;Julien, Piere Y.
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2020년도 학술발표회
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    • pp.85-85
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    • 2020
  • South Korea experiences few large scale erosion and sedimentation problems, however, there are numerous local sedimentation problems. A reliable and consistent approach to modelling and management for sediment processes are desirable in the country. In this study, field measurements of sediment concentration from 34 alluvial river basins in South Korea were used with the Modified Einstein Procedure (MEP) to determine the total sediment load at the sampling locations. And then the Flow Duration-Sediment Rating Curve (FD-SRC) method was used to estimate the specific degradation for all gauging stations. The specific degradation of most rivers were found to be typically 50-300 tons/㎢·yr. A model tree data mining technique was applied to develop a model for the specific degradation based on various watershed characteristics of each watershed from GIS analysis. The meaningful parameters are: 1) elevation at the middle relative area of the hypsometric curve [m], 2) percentage of wetland and water [%], 3) percentage of urbanized area [%], and 4) Main stream length [km]. The Root Mean Square Error (RMSE) of existing models is in excess of 1,250 tons/㎢·yr and the RMSE of the proposed model with 6 additional validations decreased to 65 tons/㎢·yr. Erosion loss maps from the Revised Universal Soil Loss Equation (RUSLE), satellite images, and aerial photographs were used to delineate the geospatial features affecting erosion and sedimentation. The results of the geospatial analysis clearly shows that the high risk erosion area (hill slopes and construction sites at urbanized area) and sedimentation features (wetlands and agricultural reservoirs). The result of physiographical analysis also indicates that the watershed morphometric characteristic well explain the sediment transport. Sustainable management with the data mining methodologies and geospatial analysis could be helpful to solve various erosion and sedimentation problems under different conditions.

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Effects of Diabetes Mellitus on the Disposition of Tofacitinib, a Janus Kinase Inhibitor, in Rats

  • Gwak, Eun Hye;Yoo, Hee Young;Kim, So Hee
    • Biomolecules & Therapeutics
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    • 제28권4호
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    • pp.361-369
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    • 2020
  • Tofacitinib, a Janus kinase inhibitor, was developed for the treatment of rheumatoid arthritis. Recently, it has been associated with an increased change in arthritis development in patients with diabetes. Herein, we evaluated the pharmacokinetics of tofacitinib after intravenous (10 mg/kg) and oral (20 mg/kg) administration to rats with streptozotocin-induced diabetes mellitus and control rats. Following intravenous administration of tofacitinib to rats with streptozotocin-induced diabetes mellitus, area under the plasma concentration-time curve from time zero to infinity of tofacitinib was significantly smaller (33.6%) than that of control rats. This might be due to the faster hepatic intrinsic clearance (112%) caused by an increase in the hepatic cytochrome P450 (CYP) 3A1(23) and the faster hepatic blood flow rate in rats with streptozotocin-induced diabetes mellitus than in control rats. Following oral administration, area under the plasma concentration-time curve from time zero to infinity of tofacitinib was also significantly smaller (55.5%) in rats with streptozotocin-induced diabetes mellitus than that in control rats. This might be due to decreased absorption caused by the higher expression of P-glycoprotein and the faster intestinal metabolism caused by the higher expression of intestinal CYP3A1(23), which resulted in the decreased bioavailability of tofacitinib (33.0%) in rats with streptozotocin-induced diabetes mellitus. In summary, our findings indicate that diabetes mellitus affects the absorption and metabolism of tofacitinib, causing faster metabolism and decreased intestinal absorption in rats with streptozotocin-induced diabetes mellitus.

머신러닝 기반 중노년층의 기능성 위장장애 예측 모델 구현 (Prediction model of peptic ulcer diseases in middle-aged and elderly adults based on machine learning)

  • 이범주
    • 문화기술의 융합
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    • 제6권4호
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    • pp.289-294
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    • 2020
  • 기능성 위장장애는 Helicobacter pylori 감염 및 비 스테로이드성 항염증제의 사용 등의 원인으로 발생하는 소화기 계통 질환이다. 그동안 기능성 위장장애의 위험요인에 대한 많은 연구들이 수행되어졌으나, 한국인에 대한 기능성 위장장애 예측 모델 제시에 대한 연구는 없는 실정이다. 따라서 본 연구의 목적은 중년 및 노년층을 대상으로 인구학적정보, 비만정보, 혈액정보, 영양성분 정보를 바탕으로 머신러닝을 이용하여 기능성위장장애 예측 모델을 구현하고 평가하는 것이다. 모델생성을 위해 wrapper-based variable selection 메소드와 naive Bayes 알고리즘이 사용되었다. 여성 예측 모델의 분류 정확도는 0.712의 the area under the receiver operating characteristics curve(AUC) 값을 나타냈고, 남성에서는 여성보다 낮은 0.674의 AUC값이 나타났다. 이러한 연구결과는 향후 중년 및 노년층의 위장장애 질환의 예측과 예방에 활용될 수 있다.

퍼지집합 모델을 이용한 암설지형 분포 가능지 추출 연구 (Extracting the Distribution Potential Area of Debris Landform Using a Fuzzy Set Model)

  • 위눈솔;장동호
    • 한국지형학회지
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    • 제24권1호
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    • pp.77-91
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    • 2017
  • Many debris landforms in the mountains of Korea have formed in the periglacial environment during the last glacial stage when the generation of sediments was active. Because these landforms are generally located on steep slopes and mostly covered by vegetation, however, it is difficult to observe and access them through field investigation. A scientific method is required to reduce the survey range before performing field investigation and to save time and cost. For this purpose, the use of remote sensing and GIS technologies is essential. This study has extracted the potential area of debris landform formation using a fuzzy set model as a mathematical data integration method. The first step was to obtain information about the location of debris landforms and their related factors. This information was verified through field observation and then used to build a database. In the second step, we conducted the fuzzy set modeling to generate a map, which classified the study area based on the possibility of debris formation. We then applied a cross-validation technique in order to evaluate the map. For a quantitative analysis, the calculated potential rate of debris formation was evaluated by plotting SRC(Success Rate Curve) and calculating AUC(Area Under the Curve). The prediction accuracy of the model was found to be 83.1%. We posit that the model is accurate and reliable enough to contribute to efficient field investigation and debris landform management.

지역사회 거주 노인의 허약선별도구 타당도 평가 (Validation of Instruments to Classify the Frailty of the Elderly in Community)

  • 이인숙;박영임;박은옥;이순희;정인숙
    • 지역사회간호학회지
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    • 제22권3호
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    • pp.302-314
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    • 2011
  • Purpose: This study aimed to validate instruments to classify the frailty of Korean elderly people in community. Methods: For this study, 632 elders were selected from community-based elderly houses and home visiting registries, and data on frailty were collected using three instruments during November, 2008. The Korean Frail Scale (KFS) was composed of 10 domains with the maximum score of 20. The Edmonton Frail Scale (EFS) had 10 domains with the maximum score of 17. The 25_Japan Frail Scale (25_JFS) was composed of 6 domains with the maximum score of 25. Internal consistency was measured with Cronbach's ${\alpha}$. Sensitivity, specificity and area under the curve (AUC) of ROC were measured to see validity with long.term care insurance grade as a gold standard. Results: The Cronbach's ${\alpha}$ was .72 for KFS, .55 for EFS, and .80 for 25_JFS. Sensitivity, specificity, and AUC were 70.0%, 83.2%, and .83, respectively, at cutting point 10.5 for the KFS, 50.0%, 80.9%, and .66, respectively, at 8.5 for EFS, and 80.0%, 85.9%, and .86, respectively, at 12.5 for 25_JFS. Conclusion: KFS and three JFS showed favorable internal consistency and predictive validity. Further longitudinal studies are recommended to confirm predictive validity.

Stratifying Patients with Haematuria into High or Low Risk Groups for Bladder Cancer: a Novel Clinical Scoring System

  • Tan, Guan Hee;Shah, Shamsul Azhar;Ann, Ho Sue;Hemdan, Siti Nurhafizah;Shen, Lim Chun;Abdul Galib, Nurudin Al-Fahmi;Singam, Praveen;Kong, Ho Chee Christopher;Hong, Goh Eng;Bahadzor, Badrulhisham;Zainuddin, Zulkifli Md
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권11호
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    • pp.6327-6330
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    • 2013
  • Haematuria is a common presentation of bladder cancer and requires a full urologic evaluation. This study aimed to develop a scoring system capable of stratifying patients with haematuria into high or low risk groups for having bladder cancer to help clinicians decide which patients need more urgent assessment. This cross-sectional study included all adult patients referred for haematuria and subsequently undergoing full urological evaluation in the years 2001 to 2011. Risk factors with strong association with bladder cancer in the study population were used to design the scoring system. Accuracy was determined by the area under the receiver operating characteristic (ROC) curve. A total of 325 patients with haematuria were included, out of which 70 (21.5%) were diagnosed to have bladder cancer. Significant risk factors associated with bladder cancer were male gender, a history of cigarette smoking and the presence of gross haematuria. A scoring system using 4 clinical parameters as variables was created. The scores ranged between 6 to 14, and a score of 10 and above indicated high risk for having bladder cancer. It was found to have good accuracy with an area under the ROC curve of 80.4%, while the sensitivity and specificity were 90.0% and 55.7%, respectively. The scoring system designed in this study has the potential to help clinicians stratify patients who present with haematuria into high or low r isk for having bladder cancer. This will enable high-risk patients to undergo urologic assessment earlier.

대두 갈색무늬병에 의한 수량감소의 평가 (Assessment of the Soybean Yield Reduction due to Infection of Septoria Brown Spot, Septoria glycines Hemmi)

  • 오정행;권신한
    • 한국응용곤충학회지
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    • 제22권1호
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    • pp.7-14
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    • 1983
  • 2년간에 걸쳐 조사한 대두의 수량감소는 갈색무늬병을 접종한 경우 농약 살포구에 비해 $15.7-16.4\%$ 감소 차였으며 자연감염의 경우에는 $8.2-9.2\%$의 감소를 나타냈다. 갈색무늬병의 감염은 초장, 주당절수(株當節數), 주당분지수(分枝數)에는 큰 영향이 없었으나 주당협수(狹數)와 종실중(種實重)에는 현저한 감소 현상을 보였다. 대두의 수량감소율을 갈색무늬병의 이병율과 정(正)의 상관을 보였으며 그 상관도는 Van der Plank's infection rate (0.156) 보다는 병 진전국선면적(AUBC) 과의 상관도가 높았다$(r=0.388^*)$. 병진전곡선 면적으로 표시된 갈색무늬병의 감염율과 대두수량 감소율과의 관계는 y=4.38+0.5X $(r=0.686^{**},\;df=25)$으로 나타났다.

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