• Title/Summary/Keyword: Bayes factor

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Development of integrative diagnosis methods for the jaundice through statistical analysis (통합의료적 황달진단법개발을 위한 통계적 접근방법)

  • Shin, Im Hee;Kwak, Sang Gyu;Kim, Sang Gyung;Sohn, Ki Cheul;Jung, Hyun-Jung;Cho, Yoon-Jeong;Lee, A-Jin;Kwon, O Sung
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.3
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    • pp.515-521
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    • 2013
  • Healthcare approach in Western medicine and Korean Traditional Medicine (KTM) varies from its nature of human understanding and cultural differences. This fundamental difference in their approach of the human pathology has dualised and hindered common medical communication between the two fields of medicines. Within this current difficulty, the integrative medical service is said to become a novel method to provide the patients with the best medical care as their intent is to adapt and combine the advantages stated from the two different fields. This research paper shows the integrative approach of treating jaundice, where the symptoms of dampness and heat on Korean traditional standards are analyzed using statistical methods based on monitoring the blood test results. Therefore, we can explore an approach to diagnose and treat with comprehensive and integrative medicine algorithm.

A study of Bayesian inference on auto insurance credibility application (자동차보험 신뢰도 적용에 대한 베이지안 추론 방식 연구)

  • Kim, Myung Joon;Kim, Yeong-Hwa
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.4
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    • pp.689-699
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    • 2013
  • This paper studies the partial credibility application method by assuming the empirical prior or noninformative prior informations in auto insurnace business where intensive rating segmentation is expanded because of premium competition. Expanding of rating factor segmetation brings the increase of pricing cells, as a result, the number of cells for partial credibility application will increase correspondingly. This study is trying to suggest more accurate estimation method by considering the Bayesian framework. By using empirically well-known or noninformative information, inducing the proper posterior distribution and applying the Bayes estimate which is minimizing the error loss into the credibility method, we will show the advantage of Bayesian inference by comparison with current approaches. The comparison is implemented with square root rule which is a widely accepted method in insurance business. The convergence level towarding to the true risk will be compared among various approaches. This study introduces the alternative way of redcuing the error to the auto insurance business fields in need of various methods because of more segmentations.

The Prognostic Factors of Solitary Pulmonary Nodule (고립성 폐결절의 예후에 관여하는 인자)

  • Jeong, Yun-Seop;Kim, Ju-Hyeon
    • Journal of Chest Surgery
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    • v.22 no.3
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    • pp.425-435
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    • 1989
  • The solitary pulmonary nodule is considered as a round or ovoid lesion with sharp, circumscribed borders, surrounded by normal appearing lung parenchyme on all sides, and found on a simple chest X-ray without any particular symptoms or signs. There is a wide spectrum of pathologic conditions in the solitary pulmonary nodules prove to be malignant tumors, either primary or metastatic. Most Benign granulomas and other benign conditions can also be seen as solitary nodules. The resection of solitary malignant nodules results in a surprisingly high 5-year survival rate. On the contrary, most benign nodules do not need to be resected and a period of prolonged observation and nonsurgical management is usually indicated. Therefore, the best approach to the controversial management of solitary pulmonary nodules depends on finding factors affecting the probability of malignancy. In this article, clinical records and chest roentgenographies of 60 patients operated on over the past 8 years at the Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital were reviewed. There were 15 malignant nodules and 45 benign nodules and the prevalence of malignancy was 25%. The most common pathologic entity was tuberculoma [21 cases]. The mean age was 55.5*9.6 years in the malignant group, 45.8>12.5 years in the benign group and there was a significant statistical difference between the two groups [P < 0.05]. The malignant ratio in each age group increased with advancing age. The average smoking amount was 35.6*12.9 cigarettes per day in malignant smokers, 20.9* 12.0 cigarettes per day in benign smokers, and there was a significant statistical difference between the two groups [p< 0.05]. The malignant ratio also increased with the increasing smoking amount. Comparing the appearance of the nodule on chest films, 6 calcifications and 7 cavitations were found only in benign nodules, not in malignant nodules. Therefore, calcification and cavitation can be considered as preferential findings for benignity. Previous cancer history was also a significant factor deciding the prognosis of the nodule [p< 0.05]. The average diameter on chest X-ray was 3.07*0.82 cm in malignant nodules, 3.25*1.04 cm in benign nodules and there was no significant statistical difference between the two groups [p< 0.05]. The author used Bayes theorem to develop a simple method for combining individual clinical or radiological factors of patients with solitary nodules into an overall estimate of the probability that the nodule is malignant. In conclusion, patient age, smoking amount, appearance of nodule on chest film such as calcification and cavitation, and previous cancer history were found to be strongly associated with malignancy, but size of nodule was not associated with malignancy. Since these prognostic factors have been found retrospectively, prospective controlled studies are needed to determine whether these factors have really prognostic significance.

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Software Reliability Growth Modeling in the Testing Phase with an Outlier Stage (하나의 이상구간을 가지는 테스팅 단계에서의 소프트웨어 신뢰도 성장 모형화)

  • Park, Man-Gon;Jung, Eun-Yi
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.10
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    • pp.2575-2583
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    • 1998
  • The productionof the highly relible softwae systems and theirs performance evaluation hae become important interests in the software industry. The software evaluation has been mainly carried out in ternns of both reliability and performance of software system. Software reliability is the probability that no software error occurs for a fixed time interval during software testing phase. These theoretical software reliability models are sometimes unsuitable for the practical testing phase in which a software error at a certain testing stage occurs by causes of the imperfect debugging, abnornal software correction, and so on. Such a certatin software testing stage needs to be considered as an outlying stage. And we can assume that the software reliability does not improve by means of muisance factor in this outlying testing stage. In this paper, we discuss Bavesian software reliability growth modeling and estimation procedure in the presence of an imidentitied outlying software testing stage by the modification of Jehnski Moranda. Also we derive the Bayes estimaters of the software reliability panmeters by the assumption of prior information under the squared error los function. In addition, we evaluate the proposed software reliability growth model with an unidentified outlying stage in an exchangeable model according to the values of nuisance paramether using the accuracy, bias, trend, noise metries as the quantilative evaluation criteria through the compater simulation.

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