회원학회
회원학회
| 번호 | 연구제목 | 연구자 | 연구기간 | 발표실적 |
|---|---|---|---|---|
| 내용 | ||||
| 49 | 한방 피부미용 임상 현황과 나아갈 방향 모색 | 이성환 | 2019-01-01 ~ | 학회지 |
| Objects : This report was performed to in order to investigate present Oriental Medical Therapeutic Method on Dematology and Aesthetics. Methods : We searched the current Oriental medical literature related to Dermatology and Aesthetics. Conclusions : There are many new articles of Oriental medical therapy on Acne, Alopecia, Skin aging and Cosmetic surgery. Lots of therapeutic methods of Korean Medical cosmetic manipulations are being developed. |
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| 48 | 『東醫寶鑑』에 대한 텍스트마이닝과 피부관련 단어의 상관성 분석 | 조현석 | 2018-01-01 ~ | 학회지 |
| Objects : This report was performed to analyze text data of Dongeuibogam(東醫寶鑑) by text mining method. Methods : Text Data of Dongeuibogam (東醫寶鑑) was analyzed by program R and enjeon for text mining and visualizing. The correlation of word \"skin(皮)“ was analyzed. Results : 235 words of weighted dtm(document term matrix) of Dongeuibogam was made by text data mining. Network, w2v(word to vector) analysis was performed and related terms to “skin(皮膚)”, \"skin and hair(皮毛)“ were extracted. Conclusions : Network and w2v of Dongeuibogam were visualized. The nearest to \"skin(皮膚)“ was \"Croton?tiglium(巴豆)\", \"Four seasons(四時)\", \"Three ways(三法)\". |
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| 47 | 『黃帝內經 素問』에 대한 텍스트마이닝과 피부관련 단어의 상관성 분석 | 조현석 | 2018-01-01 ~ | 학회지 |
| Objects : This report was performed to analyze text data of Huangdi\'s Internal Classic Plain Questions(黃帝內經 素問) by text mining method. Methods : Text Data of Huangdi\'s Internal Classic Plain Questions(黃帝內經 素問) was analyzed by program R and enjeon for text mining and visualizing. The correlation of word \"skin(皮)“ was analyzed. Results : 235 words of weighted dtm(document term matrix) of Huangdi\'s Internal Classic Plain Questions was made by text data mining. Network, w2v(word to vector) analysis was performed and related terms to “skin(皮膚)”, \"skin and hair(皮毛)“ were extracted. Conclusions : Network and w2v of Plain Questions were visualized. The most related to \"skin(皮膚)“ was \"tertiary collateral vessel(孫絡) and to \"皮毛\" was \"pathogen(邪氣)\". |
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| 46 | 『黃帝內經 靈樞』에 대한 텍스트마이닝과 피부관련 단어의 상관성 분석 | 조현석 | 2018-01-01 ~ | 학회지 |
| Objects : This report was performed to analyze text data of Huangdi\'s Internal Classic Miraculous Pivot (黃帝內經 靈樞) by text mining method. Methods : Text Data of Huangdi\'s Internal Classic Miraculous Pivot(黃帝內經 靈樞) was analyzed by program R and enjeon for text mining and visualizing. The correlation of word \"skin(皮)“ was analyzed. Results : 114 words of weighted dtm(document term matrix) of Huangdi\'s Internal Classic Miraculous Pivot was made by text data mining. Network, w2v(word to vector) analysis was performed and related terms to “skin(皮膚)” were extracted. Conclusions : Network and w2v of Miraculous Pivot were visualized. The most related to \"skin(皮膚)“ was \"lesser yang (少陽)\". |
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