• Title/Summary/Keyword: Answer Tree Analysis

Search Result 22, Processing Time 0.02 seconds

A Research on the Recognition of the Effect of Constitution-Acupuncture Based on the Expert Constitution-Acupuncture Oriental Medical Doctors (팔체질침 전문 한의사의 체질침 효과에 대한 인식조사)

  • Min, Jae-Young;Park, Young-Jae;Park, Jae-Sung;Shin, Yong-Sup;Park, Young-Bae;Lee, Sang-Chul;Kim, Min-Yong
    • The Journal of the Society of Korean Medicine Diagnostics
    • /
    • v.11 no.1
    • /
    • pp.105-129
    • /
    • 2007

  • Objectives: The purpose of this research is to obtain basic data about the effects of Constitution-Acupuncture (CA) based on Eight-Constitution Medicine (ECM) by the expert CA Oriental Medical Doctors. Methods: The resources were collected from the internet survey method. 35 samples were collected. The SPSS 13.0 for windows and Answer Tree 3.0 was used for statistical analysis. Results: The results from this research are as follow. 1. The motivation that apply ECM to clinic are 'Because ECM is effective for diagnosis, treatment and prevention against disease' 48.6% and 'Because CA therapy is effective' 25.7%. 2. The advantage that CA therapy compare to the other acupuncture therapy are 'Management and prevention against disease are available by ECM theory to a person who exact constitution is confirmed' 82.9%, 'CA therapy is superior in treatment of hard symptoms to treat by the other acupuncture therapy' 80%, 'Treatment effect is good' 77.1%, 'Needle manipulation of CA is simple comparatively' 57.1%, 'It is definite whether treatment effect is good or not' 54.3% and CA therapy is superior all in diseases of twelve category. 3. When the effects of CA is good, patients expressed much 'Eyesight lightened', 'Took deep sleep at night', 'Fatigue decreased', 'Body is light', 'Feelings became refreshing' as well as 'Symptoms were improved' and also physicians confirmed as those reactions whether treatment is effective. Conclusions: The research suggest that CA is effective therapy in clinic, and so further study is needed for CA therapy.

  • PDF

Development of Needs Extraction Algorithm Fitting for Individuals in Care Management for the Elderly in Home (재가노인 사례관리의 욕구사정 정확도 향상을 위한 욕구추출 알고리즘 개발 - 데이터 마이닝 분석기법을 활용하여 -)

  • Kim, Young-Sook;Jung, Kook-In;Park, So-Rah
    • Korean Journal of Social Welfare
    • /
    • v.60 no.1
    • /
    • pp.187-209
    • /
    • 2008

  • The authors developed 28 needs assessment tools for integrated assessment centered on needs, which is the core element in care management for the elderly in home. Also, the authors collected the assessment data of 676 elderly persons in home from 120 centers under the Korea Association of Senior Welfare Centers by using the needs assessment tools, and finally developed needs extraction algorithm through decision tree analysis in data mining to identify their actual needs and provide social welfare service suitable for such needs. The needs extraction algorithm for 28 needs of the elderly in home are summarized in

    . The Need No. 8 "Having need of help in going out" of the decision-making model, for example, was divided into 80.3% of asking for help and 11.4% not asking for help with Appeal No. 23 as a major variable. The need increased by 87.9% when the elderly appealed for help to go out and they had a caregiver but decreased by 47.4% when they had no caregiver. When the elderly asked for help in going out, they had a caregiver, and they needed complete help in cleaning, their need of help in going out was shown as 94.2%. However, seen from their answer that they needed complete help in bathing of ADL even if they did not ask for help in going out, it was found that the need of help in going out sharply increased from 11.4% to 80.0%. On the other hand, when they needed partial help or self-supported in bathing, the potential for them to be classified as asking for help in going out was shown to be low as 7.7%. In the said decision-making model, the number of cases for parent node and child node was designated as 50 and 25, respectively, with level 5 of the maximum tree depth as stopping rule. By this, it was shown that their decision-making was found to be effective as 182.13% for the need "Having need of help in going out". The algorithm presented in this study can be useful as systematic and scientific fundamental data in assessment of needs of the elderly in home.

  • PDF
    • (34141) Korea Institute of Science and Technology Information, 245, Daehak-ro, Yuseong-gu, Daejeon
    Copyright (C) KISTI. All Rights Reserved.