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22대 대한민국 국회 국회정보길라잡이 국회의원검색
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국회도서관 홈으로 정보검색 소장정보 검색
결과 내 검색 동의어 포함
결과 내 검색 동의어 포함

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I. 서론 10

II. 본론 12

1. 연구 기관 12

2. 연구 대상 12

3. 연구 방법 12

4. 관찰 항목 13

1) 기본 정보 13

2) 주소증 13

3) 임상 양상 14

4) 기왕력 14

5) 가족력 14

6) 사회력 14

7) 월경력 14

5. 학파별 증상 선정 및 추천 처방 도출 16

6. 통계 방법 16

III. 결과 17

1. 대상자의 인구학적 특성 17

2. 주소증 17

3. 학파별 선정 증상 18

1) 제1 선정 증상 18

2) 제2 선정 증상 24

3) 기타 선정 증상 30

4. 학파별 처방 분포 37

1) 대한형상의학회 37

2) 사상체질의학회 40

3) 상한금궤의학회 43

IV. 고찰 47

V. 결론 52

참고문헌 54

ABSTRACT 58

Table 1. Method and Directions for Pulse diagnosis 15

Table 2. Method and Directions for Tongue diagnosis 15

Table 3. Method and Directions for Abdominal diagnosis 16

Table 4. Demographic characteristics 17

Table 5. Chief complaints 18

Table 6. The first symptoms of selection by chief complaint in Hyungsang medicine 20

Table 7. The first symptoms of selection by chief complaint in Sasang medicine 22

Table 8. The first symptoms of selection by chief complaint in Sanghan-Geumgwe medicine 24

Table 9. The second symptoms of selection by chief complaint in Hyungsang medicine 26

Table 10. The second symptoms of selection by chief complaint in Sasang medicine 28

Table 11. The second symptoms of selection by chief complaint in Sanghan-Geumgwe medicine 30

Table 12. The other symptoms of selection by chief complaint in Hyungsang medicine 33

Table 13. The other symptoms of selection by chief complaint in Sasang medicine 35

Table 14. The other symptoms of selection by chief complaint in Sanghan-Geumgwe medicine 37

Table 15. Prescriptions by chief complaint in Hyungsang medicine 39

Table 16. Prescriptions by chief complaint in Sasang medicine 42

Table 17. Prescriptions by chief complaint in Sanghan-Geumgwe medicine 45

Table 18. Catergories by symptom in Hyungsang medicine 49

Table 19. Categories by symptom in Sasang medicine 49

초록보기

Objectives: The purpose of this study is to prepare basic clinical data for recommendation artificial intelligence algorithm of Korean herbal prescription on anxiety, depression, anger, and insomnia.

Methods: Subjects were recruited for those who complained of one or more symptoms of anxiety, depression, anger, and insomnia above mild(Anxiety: State-Trait Anxiety Inventory≥40, Depression: Beck Depression Inventory≥14, Anger: State-Trait Anxiety Inventory≥16, Insomnia: Insomnia Severity Index≥8). Clinical data including basic medical information and clinical symptoms were collected from the subjects. Then the data were analyzed by experts of the Hyungsang medicine, Sasang constitutional medicine, and Sanghan-Geumgwe medicine.

Results and conclusions: The experts of the three societies presented key symptoms, diagnosed diseases, and recommended prescriptions. The data from this study can be used as basic data for the development of prescription recommendation artificial intelligence algorithms in the future.

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