OAK

기계학습 방법을 활용한 Cephalosporins의 피부 이상반응 분석: KAERS DB를 활용한 약물감시 데이터 기반 연구

= Analysis of Cutaneous Adverse Reactions to Cephalosporins Using Machine Learning Techniques: A Pharmacovigilance Study Based on KAERS DB Data
Metadata Downloads
Type
Article
Alternative Title
KAERS DB를 활용한 약물감시 데이터 기반 연구
Author(s)
이혜원오경선권혜준임솔하최승호김종윤
Department
상상력교양대학 기초교양학부
Alternative Author(s)
Lee, HyewonOh, Kyung-SeonKwon, Hae-JunLim, Sohl-HaChoie, Seoung-HoKim, Jongyoon
Citation Title
Journal of Korean Society of Health-system Pharmacists
Citation Volume
41
Citation Number
3
Citation Start Page
275
Citation End Page
283
Issued Date
2024-08
DOI
journal/view.html?doi=10.32429/jkshp.2024.41.3.005
ISSN
1226-640X
EISSN
2466-2143
Keyword
β-Lactam antibioticsCutaneous adverse reactionsMachine learningKAERS DB (Korea Adverse Event Reporting System Database)Cross-reactivity
URI
http://dspace.hansung.ac.kr/handle/2024.oak/10344
Appears in Collections:
미래융합사회과학대학 > 1. Journal Articles
Authorize & License
  • Authorize공개
Files in This Item:
  • There are no files associated with this item.

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.