Comparison of Diagnostic Accuracy and Prediction Rate for between two Syndrome Differentiation Diagnosis Models

중풍 변증 모델에 의한 진단 정확률과 예측률 비교

  • Kang, Byoung-Kab (Division of TKM Integrated Research Brain Disease Research Center, Korea Institute of Oriental Medicine) ;
  • Cha, Min-Ho (Division of TKM Integrated Research Brain Disease Research Center, Korea Institute of Oriental Medicine) ;
  • Lee, Jung-Sup (Division of TKM Integrated Research Brain Disease Research Center, Korea Institute of Oriental Medicine) ;
  • Kim, No-Soo (Division of TKM Integrated Research Brain Disease Research Center, Korea Institute of Oriental Medicine) ;
  • Choi, Sun-Mi (Division of Standard Research Acupuncture, Moxibustion and Meridian research Center, Korea Institute of Oriental Medicine) ;
  • Oh, Dal-Seok (Division of TKM Integrated Research Brain Disease Research Center, Korea Institute of Oriental Medicine) ;
  • Kim, So-Yeon (Division of TKM Integrated Research Brain Disease Research Center, Korea Institute of Oriental Medicine) ;
  • Ko, Mi-Mi (Division of TKM Integrated Research Brain Disease Research Center, Korea Institute of Oriental Medicine) ;
  • Kim, Jeong-Cheol (Division of TKM Integrated Research Brain Disease Research Center, Korea Institute of Oriental Medicine) ;
  • Bang, Ok-Sun (Division of TKM Integrated Research Brain Disease Research Center, Korea Institute of Oriental Medicine)
  • 강병갑 (한국한의학연구원 한의융합연구본부 뇌질환연구센터) ;
  • 차민호 (한국한의학연구원 한의융합연구본부 뇌질환연구센터) ;
  • 이정섭 (한국한의학연구원 한의융합연구본부 뇌질환연구센터) ;
  • 김노수 (한국한의학연구원 한의융합연구본부 뇌질환연구센터) ;
  • 최선미 (한국한의학연구원 표준화연구본부 침구경락연구센터) ;
  • 오달석 (한국한의학연구원 한의융합연구본부 뇌질환연구센터) ;
  • 김소연 (한국한의학연구원 한의융합연구본부 뇌질환연구센터) ;
  • 고미미 (한국한의학연구원 한의융합연구본부 뇌질환연구센터) ;
  • 김정철 (한국한의학연구원 한의융합연구본부 뇌질환연구센터) ;
  • 방옥선 (한국한의학연구원 한의융합연구본부 뇌질환연구센터)
  • Published : 2009.10.25

Abstract

In spite of abundant clinical resources of stroke patients, the objective and logical data analyses or diagnostic systems were not established in oriental medicine. In the present study we tried to develop the statistical diagnostic tool discriminating the subtypes of oriental medicine diagnostic system, syndrome differentiation (SD). Discriminant analysis was carried out using clinical data collected from 1,478 stroke patients with the same subtypes diagnosed identically by two clinical experts with more than 3 year experiences. Numerical discriminant models were constructed using important 61 symptom and syndrome indices. Diagnostic accuracy and prediction rate of 5 SD subtypes: The overall diagnostic accuracy of 5 SD subtypes using 61 indices was 74.22%. According to subtypes, the diagnostic accuracy of "phlegm-dampness" was highest (82.84%), and followed by "qi-deficiency", "fire/heat", "static blood", and "yin-deficiency". On the other hand, the overall prediction rate was 67.12% and that of qi-deficiency was highest (73.75%). Diagnostic accuracy and prediction rate of 4 SD subtypes: The overall diagnostic accuracy and prediction rate of 4 SD subtypes except "static blood" were 75.06% and 71.63%, respectively. According to subtypes, the diagnostic accuracy and prediction rate was highest in the "phlegm-dampness" (82.84%) and qi-deficiency (81.69%), respectively. The statistical discriminant model of constructed using 4 SD subtypes, and 61 indices can be used in the field of oriental medicine contributing to the objectification of SD.

Keywords

References

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