• Title/Summary/Keyword: dampness patten

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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.

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%).