Identification of candidate medicinal herbs for skincare via data mining of the classic Donguibogam text on Korean medicine
DC Field | Value | Language |
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dc.contributor.author | Gayoung Cho | - |
dc.contributor.author | Hyo-Min Park | - |
dc.contributor.author | Won-Mo Jung | - |
dc.contributor.author | Woong-Seok Cha | - |
dc.contributor.author | Donghun Lee | - |
dc.contributor.author | Younbyoung Chae | - |
dc.date.available | 2021-01-19T00:40:28Z | - |
dc.date.created | 2020-12-31 | - |
dc.date.issued | 2020-12 | - |
dc.identifier.issn | 2213-4220 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/79768 | - |
dc.description.abstract | Background: Korean cosmetics are widely exported throughout Asia. Cosmetics exploiting traditional Korean medicine lead this trend; thus, the traditional medicinal literature has been invaluable in terms of cosmetic development. We sought candidate medicinal herbs for skincare. Methods: We used data mining to investigate associations between medicinal herbs and skin-related keywords (SRKs) in a classical text. We selected 26 SRKs used in the Donguibogam text; these referred to 626 medicinal herbs. Using a term frequency-inverse document frequency approach, we extracted data on herbal characteristics by assessing the co-occurrence frequencies of 52 medicinal herbs and the 26 SRKs. Results: We extracted the characteristics of the 52 herbs, each of which exhibited a distinct skin-related action profile. For example Ginseng Radix was associated at a high-level with tonification and anti-aging, but Rehmanniae Radix exhibited a stronger association with anti-aging. Of the 52 herbs, 46 had been subjected to at least one modern study on skincare-related efficacy. Conclusions: We made a comprehensive list of candidate medicinal herbs for skincare via data mining a classical medical text. This enhances our understanding of such herbs and will help with discovering new candidate herbs. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.relation.isPartOf | INTEGRATIVE MEDICINE RESEARCH | - |
dc.title | Identification of candidate medicinal herbs for skincare via data mining of the classic Donguibogam text on Korean medicine | - |
dc.title.alternative | Identification of candidate medicinal herbs for skincare via data mining of the classic Donguibogam text on Korean medicine | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000600140200009 | - |
dc.identifier.doi | 10.1016/j.imr.2020.100436 | - |
dc.identifier.bibliographicCitation | INTEGRATIVE MEDICINE RESEARCH, v.9, no.4, pp.1 - 9 | - |
dc.identifier.kciid | ART002662263 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 9 | - |
dc.citation.startPage | 1 | - |
dc.citation.title | INTEGRATIVE MEDICINE RESEARCH | - |
dc.citation.volume | 9 | - |
dc.citation.number | 4 | - |
dc.contributor.affiliatedAuthor | Donghun Lee | - |
dc.subject.keywordAuthor | Cosmetic development | - |
dc.subject.keywordAuthor | Data mining | - |
dc.subject.keywordAuthor | Skincare | - |
dc.subject.keywordAuthor | Traditional herbal medicine | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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