The Development of Matlab Toolbox for Liver Function Evaluation

Wen, Kun-Li; Lee, B.-Y.; You, Mei-Li; Zhou, Zihan

doi:10.2316/p.2010.689-091

Cited by 9 publications

(11 citation statements)

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“…In this research, we also use toolbox to verify our results, and shown in Fig. 2 [9,10]. Through GM (0,N) calculation, the result shows that the main factors influence women's low-income are the women in hardship, the number of women divorced and female unemployment.…”

Section: ) Calculationmentioning

confidence: 96%

Apply GM(0,N) to analyze the weighting of influence factor in the feminization of poverty-an example in Taiwan

Wei

Chen

Fang

et al. 2011

2011 IEEE/SICE International Symposium on System Integration (SII)

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The paper aims to quantify the phenomenon of feminization of poverty, which based on the gender statistics from Taiwan's government, and use GM (0,N) model as the mathematics model to analyze the low-income women problem from year 2006 to year 2010. The paper proposes the eight influence factors for the feminization of poverty at first. Through GM (0,N) calculation, the result shows that the three main factors influence women's low-income are the women in hardship, the number of women divorced and female unemployment. Comparing to the actual study abroad, it is in good agreement with the actual situation.

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Section: ) Calculationmentioning

confidence: 96%

Apply GM(0,N) to analyze the weighting of influence factor in the feminization of poverty-an example in Taiwan

Wei

Chen

Fang

et al. 2011

2011 IEEE/SICE International Symposium on System Integration (SII)

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“…The field of the grey system can be summarized in concluded into six parts [6,9], in our study, we focused on grey relational grade and GM(h,N).…”

Section: The Mathematics Modelmentioning

confidence: 99%

Apply grey system theory in the factor weighting analysis of liver function

Wen

Liu

You

et al. 2010

2010 3rd International Conference on Biomedical Engineering and Informatics

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This paper is mainly a continuation of the previous study, which is based on an assessment of liver function and verifies the results. First of all, we use the grey relational grade in grey system theory and integrate the numerical results of the examiner. And then, the influence factors of liver function toward weighting value are derived by GM(0,N) weight analysis model. In addition, by using software, toolbox concept and the powerful function of software application, that is based on a relevant measuring model and weighting model to develop a toolbox and to achieve a practical setting and academic research. The paper mainly does an in-depth analysis on liver function diagnosis. In order to achieve the purpose, we first refer to the relevant regulation of Department of Health and decide the analyzed influence factors of diagnosis. In addition, we suggest five influence factors according to the past researches and the current medical analysis factors. In order to explore the nature of each factor, the expected input data is over 300 cases. Secondly, we make use of four grey relational grade in grey system theory to convert a subjective judgment into an objective way of quantitative value, and get the mean as the output of weighting analysis. Then, the influence factors of liver function toward system's objective weighting are derived by means of GM(0,N) weighting analysis model. During the setting period, we also develop a Matlab toolbox and support with lots of calculation and complicate mathematical calculation due to the mutual influence of objects data. In addition to complete a medical assistance platform of the objective intelligent liver function evaluation, we continuously pile up the evaluation software of medical system.

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“…3 to Fig. 5 [11]. At present, many national labs have started many researches of steam pipe creep life and boiler composition.…”

Section: E Analysis Of Six Gradesmentioning

confidence: 99%

“…3) Analyze the condition attributes 4 x , 6 x , 7 x , 8 x , 9 x , 12 x , 13 x , 14 9 x , 10 x , 11 x , 12 x , 15 x , 16 x , 19…”

mentioning

confidence: 99%

Application of rough set method to the weightings of high temperature creep factors of boiler water wall

You

Wen

Liu

et al. 2013

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration

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At the high temperature state or the applied stress is less than the yield strength, general metal itself will generate slow plastic deformation until fracture, which is called creep rupture. Under room temperature, general alloy will have creep phenomenon, but it is not obvious. However, under high temperature environment, the creep rupture becomes very important. It is not only very important to predict the components' life, but to assess the remaining life of the equipment components during the operation to applications. Hence, it becomes hot topic in recent years. In the past, we always use the anti-creep steel generated from experiments to extend the creep deformation data of steel life plans, and is called stress and strain. But it needs substantial funds and time to obtain the data, so, it is limited to the direct analysis of the small data. Based on this, the paper uses the significant in rough set to find the each weighting of influence factor on creep life. Through different discrete methods, we found that the factor of strain is more important than stress, the results are not only in line with the traditional regression results, but they are also corresponding to the actual situation.

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The Development of Matlab Toolbox for Liver Function Evaluation

Cited by 9 publications

References 0 publications

Apply GM(0,N) to analyze the weighting of influence factor in the feminization of poverty-an example in Taiwan

Apply GM(0,N) to analyze the weighting of influence factor in the feminization of poverty-an example in Taiwan

Apply grey system theory in the factor weighting analysis of liver function

Application of rough set method to the weightings of high temperature creep factors of boiler water wall

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