BoSeok Seong
Biographic Data
| ID | 7302254 |
|---|---|
| NAME | BoSeok Seong |
| GIVEN NAMES | BoSeok |
| FAMILY NAME | Seong |
| SIGNATURE | SEONG B |
| AFFILIATIONS | Korea Institute of Oriental Medicine |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 0 |
A data mining approach to selecting herbs with similar efficacy: Targeted selection methods based on medical subject headings (MeSH)
This study reveals and proves that the proposed algorithm is significantly more accurate and efficient in finding alternative herbs of similar efficacy than the random selection method. As such, it is hoped that this approach will be used in diverse applications in the ethno-pharmacology field
Comparative analysis of web search trends between experts and public for medicinal herbs in Korea
This study presents meaningful results concerning the similarities and differences in interest between experts and public for popular medicinal herbs in Korea. Contrary to the common assumption that there exists big different interest between experts and public, this study revealed that there is apparent similar interest between experts and public on popular medicinal herbs in Korea
No prominent works on this page.
Comparative analysis of web search trends between experts and public for medicinal herbs in Korea
This study presents meaningful results concerning the similarities and differences in interest between experts and public for popular medicinal herbs in Korea. Contrary to the common assumption that there exists big different interest between experts and public, this study revealed that there is apparent similar interest between experts and public on popular medicinal herbs in Korea
A data mining approach to selecting herbs with similar efficacy: Targeted selection methods based on medical subject headings (MeSH)
This study reveals and proves that the proposed algorithm is significantly more accurate and efficient in finding alternative herbs of similar efficacy than the random selection method. As such, it is hoped that this approach will be used in diverse applications in the ethno-pharmacology field
Medicine (2 works) · Traditional medicine (2 works) · Artificial Intelligence (1 works) · Complementary and Alternative Medicine Studies (1 works) · Computational Drug Discovery Methods (1 works) · Computer Science (1 works) · Diverse Approaches in Healthcare and Education Studies (1 works) · Food Quality and Safety Studies (1 works) · Information retrieval (1 works) · Medicinal herbs (1 works)