• Title/Summary/Keyword: discriminant function analysis

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CANCER CLASSIFICATION AND PREDICTION USING MULTIVARIATE ANALYSIS

  • Shon, Ho-Sun;Lee, Heon-Gyu;Ryu, Keun-Ho
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.706-709
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    • 2006
  • Cancer is one of the major causes of death; however, the survival rate can be increased if discovered at an early stage for timely treatment. According to the statistics of the World Health Organization of 2002, breast cancer was the most prevalent cancer for all cancers occurring in women worldwide, and it account for 16.8% of entire cancers inflicting Korean women today. In order to classify the type of breast cancer whether it is benign or malignant, this study was conducted with the use of the discriminant analysis and the decision tree of data mining with the breast cancer data disclosed on the web. The discriminant analysis is a statistical method to seek certain discriminant criteria and discriminant function to separate the population groups on the basis of observation values obtained from two or more population groups, and use the values obtained to allow the existing observation value to the population group thereto. The decision tree analyzes the record of data collected in the part to show it with the pattern existing in between them, namely, the combination of attribute for the characteristics of each class and make the classification model tree. Through this type of analysis, it may obtain the systematic information on the factors that cause the breast cancer in advance and prevent the risk of recurrence after the surgery.

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Patient Group Study to Improve the Accuracy of QSCC II+ (QSCC II+의 진단정확률 향상을 위한 환자군 연구)

  • Kang, Minsu;Oh, Jiwon;Lee, Hyeri;Lee, Junhee
    • Journal of Sasang Constitutional Medicine
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    • v.31 no.3
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    • pp.48-65
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    • 2019
  • Background Several attempts have been made to accurately diagnose the Sasnag Constitution. One of these attempts is to use a questionnaire. Questionnaire for the Sasang Constitution Classification(QSCC) has been revised several times and now used as QSCC II+. This study was designed to improve the accuracy of the revised Questionnaire for the Sasang Constitution Classification(QSCC II+). Method 1,054 people were gathered for this study and analyzed to check discrimination ability of current discriminant function of QSCC II+. They were outpatients who visited the hospital and the constitution was confirmed by the specialist of Sasang Constitutional Medicine. Results Accuracy of QSCC II+ at Soeumin was improved from 74.9% to 79.3%, and there were no significant difference at Soyangin and Taeumin. Conclusion New discriminant function was constructed through discriminant analysis. And the accuracy of QSCC II+ was generally improved, especially in Soeumin.

A Study on Discriminant Function of KWIS Subscales in Schizophrenic Patients (정신분열증 환자에 있어서 KWIS 하위검사 판별기능에 관한 연구)

  • Lee, Jung-Hoon
    • Journal of Yeungnam Medical Science
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    • v.7 no.2
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    • pp.89-96
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    • 1990
  • The purpose of this article was to determine the discriminant function analysis of the Korean Wechsler Intelligence Scale(KWIS) for 110 normal controls and 98 schizophrenics. Of special interest was to verify the clinical discriminant power of two subtests of the KWIS(Vacabulary and Digit Symbols) and Zung' s Self-rating Anxiety Scale(SAS). Four major hypotheses were postulated. The normal control group would show higher scores than the schizophrenics ; mean scores on both Vocabulary and Digit Symbol. The mean difference in Digit Symbol between the two groups would be greater than that in the Vacabulary. There would be no significant relation among Digit Symbol. Vacabulary. and Anxiety. The most powerful discriminant power would be expected from subtest of Digit Symbol. The mean discriminant scores were - 1.34425 for the control subjects. 1.34425 for the schizophrenics. The correctly discriminated percentage was 89.1% for the control subjects. 90.8% for the schizophrenics. From the findings it was concluded that both Digit Symbol and Vocabulary scales had strong diagnostic value but the former was more powerful than the latter. However. the Anxiety scales had less diagnostic value.

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Comparisons of Discriminant Analysis Model and Generalized Logit Model in Stroke Patten Identifications Classification (중풍변증분류에 사용되는 판별분석모형과 일반화로짓모형의 비교)

  • Kang, Byoung-Kab;Lee, Ju-Ah;Ko, Mi-Mi;Moon, Tae-Woong;Bang, Ok-Sun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.25 no.2
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    • pp.318-321
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    • 2011
  • In this study, when a physician make a diagnosis of the Pattern Identifications(PIs) of stroke patients, the development methods of the PIs classification function is considered by diagnostic questionnaire of the PIs for stroke patients. Clinical data collected from 1,502 stroke patients who was identically diagnosed for the PIs subtypes diagnosed by two clinical experts with more than 3 years experiences in 13 oriental medical hospitals. In order to develop the classification function into PIs using the 44 items-Fire&heat(19), Qi-deficiency(11), Yin-deficiency(7), Dampness phlegm(7)- of them was significant statistically by univariate analysis in 61 questionnaires totally, we make some comparisons of the results of discriminant analysis model and generalized logit model. The overall diagnostic accuracy rate of the PIs subtypes for discriminant model(74.37%) was higher than 3% of generalized logit model(70.09%).

The Interactive Factors of Ubiquitous Media Affected on the Intention of Convergence Service Adoption (유비쿼터스 미디어의 수용의도에 영향을 미치는 상호작용성 요인에 관한 연구)

  • Kim, Ju-An
    • International Commerce and Information Review
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    • v.9 no.2
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    • pp.19-40
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    • 2007
  • In recent, T-commerce is widely dispersed as alternative type of commerce. It is forecasted that t-commerce system is used more than e-commerce system. Therefore more and more t-commerce-related industries are also recognizing that t-commerce is a critical business model. It is needed to understand the concept of t-commerce and develop the t-commerce marketing strategy. CEO analyses consumer's behaviors according to the data about buyers and applies the advantage of t-commerce to the communication with customers. This t-commerce system plays an important role in maximizing customer satisfaction and affecting their intention to reuse it. Therefore this paper attempts to identify T-commerce critical success factors and divide between use-intention group and unuse-intention group by taking out a discriminant function by the discriminant analysis. This lays a foundation in developing T-commerce strategy. According to the discriminant function extracted, convenience factor, amusement factor, system quality factor, product perception factor are significant in the sequence of influential degree. However, usefulness factor and speedy connection factor are not significant. In result, the target hitting rate is 77.9% in the first unuse-intention group and it is 95.2% in the second use-intention group. The total discriminant target hitting rate is computed to higher value, 86.55%. The statistic package, SPSS 12.0, is used to survey and analyse data and test the hypothesis. The validity and reliability of variables are verified by both reliability analysis and factor analysis. The discriminant analysis is used to tell the difference between use-intention group and unuse-intention group.

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A Study on Statistical Classification of Wear Debris Morphology

  • Cho, Unchung
    • KSTLE International Journal
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    • v.2 no.1
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    • pp.35-39
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    • 2001
  • In this paper, statistical approach is undertaken to investigate the classification of wear debris which is the key function of objective assessment of wear debris morphology. Wear tests are run to produce various kinds of wear debris. The images of wear debris from wear tests are captured with image acquisition equipment. By thresholding, two-dimensional binary images of wear debris are made and, then, morphological parameters are used to quantify the images of debris. Parametric and nonparametric discriminant method are employed to classify wear debris into predefined wear conditions. It is demonstrated that classification accuracy of parametric and nonparametric discriminant method is similar. The selected use of morphological parameters by stepwise discriminant analysis can generally improve the classification accuracy of parametric and nonparametric discriminant method.

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The Characteristic Changes of Soybean Curds by Addition of Several Types of Protein (여러가지 단백질 첨가로 인한 두부의 특성변화)

  • Pyun, Jin-Won;Hwang, In-Kyeong
    • Korean journal of food and cookery science
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    • v.6 no.3 s.12
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    • pp.33-41
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    • 1990
  • This study was conducted to compare the characteristics of the ordinary soybean curd and 3 protein-adding soybean curds (soy protein, casein, gelatin). The sensory evaluation, textural analysis by Instron Universal Testing Machine & the microstructure analysis by SEM for 4 soybean curds were carried out. The results were as follows: 1. In sensory evaluation. 1) The differentiation of soybean curds was greatly explained by `hardness in mouth' through ANOVA test. 2) Discriminant analysis showed that the properties of casein soybean curd were different from those of other three soybean curds by discriminant function I, and the properties of soy protein soybean curd were slightly different from those of ordinary and gelatin soybean curds by discriminant function II. 2. In textural analysis by Instron, protein-adding soybean curds showed significantly lower hardness than ordinary soybean curd. 3. In microstructure analysis by SEM, soy protein soybean curd showed regular, good honeycomb-like network structure and other soybean curds showed lumpy network. The structure of gelatin soybean curd was slightly similar to that of ordinary soybean curd.

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Discriminant Prediction Function and Its Affecting Factors of Private Hospital Closure by Using Multivariate Discriminant Analysis and Logistic Regression Models (다변량 판별분석과 로지스틱 회귀모형을 이용한 민간병원의 도산예측 함수와 영향요인)

  • Jung, Yong-Mo;Lee, Yong-Chul
    • Health Policy and Management
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    • v.20 no.3
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    • pp.123-137
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    • 2010
  • The main purpose of this article is for deriving functions related to the prediction of the closure of the hospitals, and finding out how the discriminant functions affect the closure of the hospitals. Empirical data were collected from 3 years financial statements of 41 private hospitals closed down from 2000 till 2006 and 62 private hospitals in business till now. As a result, the functions related to the prediction of the closure of the private hospital are 4 indices: Return on Assets, Operating Margin, Normal Profit Total Assets, Interest expenses to Total borrowings and bonds payable. From these discriminant functions predicting the closure, I found that the profitability indices - Return on Assets, Operating Margin, Normal Profit Total Assets - are the significant affecting factors. The discriminant functions predicting the closure of the group of the hospitals, 3 years before the closure were Normal Profit to Gross Revenues, Total borrowings and bonds payable to total assets, Total Assets Turnover, Total borrowings and bonds payable to Revenues, Interest expenses to Total borrowings and bonds payable and among them Normal Profit to Gross Revenues, Total borrowings and bonds payable to total assets, Total Assets Turnover, Total borrowings and bonds payable to Revenues are the significant affecting factors. However 2 years before the closure, the discriminant functions predicting the closure of the hospital were Interest expenses to Total borrowings and bonds payable and it was the significant affecting factor. And, one year before the closure, the discriminant functions predicting the closure were Total Assets Turnover, Fixed Assets Turnover, Growth Rate of Total Assets, Growth Rate of Revenues, Interest expenses to Revenues, Interest expenses to Total borrowings and bonds payable. Among them, Total Assets Turnover, Growth Rate of Revenues, Interest expenses to Revenues were the significant affecting factors.

An Improved Scheme of Evaluation Process in the Advanced Construction Technology Endorsement System (건설신기술 지정제도의 평가프로세스 개선방안)

  • Tae Yong-Ho;Park Chan-Sik
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.363-366
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    • 2002
  • The advanced construction technology endorsement system(ACTES) has used the improper evaluation criteria. Because of its insufficiency of quantitative evaluation, it is difficult to attain the objective and fairness. This study used a survey to investigate a actual condition of ACTES. The survey found that ACTES needed a evaluation criteria and a quantitative evaluation method. In addition, This study proposes the evaluation model that uses a discriminant function. The model process consists of several phases that are brain storming, t-test and discriminant function analysis.

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Analysis of Road-to-Stream Linkage Characteristics in a Mountain Catchment using the Discriminant Analysis (판별분석을 이용한 산악지역 도로-하천 연결 특성 분석)

  • Park, Sang-Hyoung;Park, Changyeol;Yoo, Chulsang
    • Journal of Korean Society on Water Environment
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    • v.27 no.2
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    • pp.147-158
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    • 2011
  • This study analyzed the linkage characteristics between road runoff and the nearest streams in mountain regions using a discriminant analysis. The road-to-stream linkage is an important characteristic to evaluate whether the contaminant on road surface is transported directly into the nearby channel system. This study evaluated a total of 51 drainage outlets of mountain roads near the Soyanggang Dam. The linkage between road and stream, slope and width of road, and other information necessary for the discriminant analysis have been collected by in situ investigation and by analyzing the Digital Elevation Model. Finally, as independent variables in the discriminant analysis, the contributing road representing the road characteristics (similar to the runoff from the road drainage outlet) and the distance and slope of the connecting channel between road and nearest stream were selected. Among these three, the distance was found to have the highest discriminant power, the contributing road the lowest. Using the discriminant function derived, 40 out of 51 cases (78.4%) were correctly discriminated and the remaining 11 cases (21.6%) were wrongly discriminated. Reasons of wrongly discriminated cases were mainly due to change in drainage outlet direction, excessive runoff, change in road-to-stream path, etc. This result also indicates that the road-to-stream linkage can be introduced or prohibited by exactly the same way.