• Title/Summary/Keyword: logisitic regression

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Investigation of Logisitic Regression Equation of Vacuous Pulse and Replete Pulse for Efficacy Evaluation of Clip-type Pulsimeter by using Magnetic Hall Device (자성홀소자를 이용한 집게형 맥진기의 유효성 평가를 위한 허맥과 실맥 로지스틱 회귀식 탐색)

  • Yu, Jun-Sang;Chang, Sei-Jin;Sun, Seung-Ho;Hong, Yu-Sik;Lee, Sang-Suk
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.17 no.1
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    • pp.63-76
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    • 2013
  • The aims of this study are to investigate a logisitic regression equation of the vacuous pulse and the replete pulse for efficacy evaluation of clip-type pulsimeter by using magnetic Hall device. To evaluate the efficacy of clip-type pulsimeter by using magnetic Hall device as sensing the minute movement of a radial artery, one research clinical trial have been performed. The number of subject was 120, the clinical data of patients did treated with a normal statistical method. The systolic peak amplitude, the reflective peak amplitude and time, and the notch peak amplitude and time are analyzed major efficacy parameters to discern the vacuous pulse and the replete pulse. The equations included of five parameters such as systolic peak amplitude, the reflective peak amplitude and time, and the notch peak amplitude and notch amplitude time for determination of the vacuous pulse and the replete pulse were deducted by statistical logistic regression method. It suggests that the logistic regression equations are possible to develop the oriental algorithm for pulse diagnosis.

Logistic Regression Accident Models by Location in the Case of Cheong-ju 4-Legged Signalized Intersections (사고위치별 로지스틱 회귀 교통사고 모형 - 청주시 4지 신호교차로를 중심으로 -)

  • Park, Byung-Ho;Yang, Jeong-Mo;Kim, Jun-Young
    • International Journal of Highway Engineering
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    • v.11 no.2
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    • pp.17-25
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    • 2009
  • The goal of this study is to develop Logistic regression model by accident location(entry section, exit section, inside intersection and pedestrian crossing section). Based on the accident data of Chungbuk Provincial Police Agency(2004$\sim$2005) and the field survey data, the geometric elements, environmental factor and others related to traffic accidents were analyzed. Developed models are all analyzed to be statistically significant(chi-square p=0.000, Nagelkerke $R^2$=0.363$\sim$0.819). The models show that the common factors of accidents are the traffic volume(ADT), distant of crossing and exclusive left turn lane, and the specific factors are the minor traffic volume(inside intersection model) and U-turn of main road(pedestrian crossing model). Hosmer & Loineshow tests are evaluated to be statistically significant(p$\geqq$0.05) except the entry section model. The correct classification rates are also analyzed to be very predictable(more than 73.9% to all models).

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Classification Analysis for Unbalanced Data (불균형 자료에 대한 분류분석)

  • Kim, Dongah;Kang, Suyeon;Song, Jongwoo
    • The Korean Journal of Applied Statistics
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    • v.28 no.3
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    • pp.495-509
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    • 2015
  • We study a classification problem of significant differences in the proportion of two groups known as the unbalanced classification problem. It is usually more difficult to classify classes accurately in unbalanced data than balanced data. Most observations are likely to be classified to the bigger group if we apply classification methods to the unbalanced data because it can minimize the misclassification loss. However, this smaller group is misclassified as the larger group problem that can cause a bigger loss in most real applications. We compare several classification methods for the unbalanced data using sampling techniques (up and down sampling). We also check the total loss of different classification methods when the asymmetric loss is applied to simulated and real data. We use the misclassification rate, G-mean, ROC and AUC (area under the curve) for the performance comparison.

Factors Influencing Suicide Methods in Gyeonggi-do Suicide Deceased: Based on the 5-year (2016~2020) Suicide Death Data Analysis (경기도 자살사망자의 자살방법에 영향을 미치는 요인 -5개년(2016~2020년) 자살사망자 자료 분석을 바탕으로-)

  • Kim, Jung Sug;Sun, Min Jung;Chun, You Jin
    • Journal of East-West Nursing Research
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    • v.29 no.2
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    • pp.129-140
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    • 2023
  • Objectives: Suicide rate in South Korea is one of the major public health concerns. This study examined the factors influencing the suicide methods of people who committed suicide in Gyeonggi-do, which accounts for one-fourth of the population of South Korea. Methods: This study analyzed the data of a total of 13,945 suicide deaths in Gyeonggi-do over a five-year period (2016-2020) provided by the Statistics Korea and the influence of social and demographic characteristics on the analyzed suicide methods. The differences in suicide methods according to the social and demographic characteristics of suicide victims were compared and analyzed through chi-squared, and items with significant differences in univariate tests were analyzed by multiple logisitic regression analysis. Results: Among suicide deaths, the most common method of suicide was hanging (52.4%). In particular, women, were employed, and stayed at home were higher risk of being hanged. The second most common method of suicide was leaping (17.7%). Women under the age of 30, those with a college degree or higher, those who were not working, time of death (6-12), and those outside the home were more likely to choose to take the leap. The third most common method of suicide was gas poisoning (15.8%). Young people under the age of 65, college graduates or higher, without a spouse, were employed, and spring season were at increased risk of choosing gas poisoning. Conclusions: The results highlight the need for policies that consider risk factors such as gender, age, education, marital status, employments status, time of suicide, and place of suicide in order to block access to suicide methods for suicide victims in Gyeonggi-do.