개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
오류제보하기
Background: As personalized healthcare industry has attracted much attention, big data analysis of healthcare data is essential.
Lots of healthcare data such as product labeling, biomedical literature and social media data are unstructured, extractingmeaningful information from the unstructured text data are becoming important. In particular, text mining for adverse drug reactions(ADRs) reports is able to provide signal information to predict and detect adverse drug reactions. There has been no study on textanalysis of expert opinion on Korea Adverse Event Reporting System (KAERS) databases in Korea. Methods: Expert opinion text ofKAERS database provided by Korea Institute of Drug Safety & Risk Management (KIDS-KD) are analyzed. To understand the wholetext, word frequency analysis are performed, and to look for important keywords from the text TF-IDF weight analysis areperformed. Also, related keywords with the important keywords are presented by calculating correlation coefficient. Results: Amongtotal 90,522 reports, 120 insulin ADR report and 858 tramadol ADR report were analyzed. The ADRs such as dizziness, headache,vomiting, dyspepsia, and shock were ranked in order in the insulin data, while the ADR symptoms such as vomiting, 어지러움,dizziness, dyspepsia and constipation were ranked in order in the tramadol data as the most frequently used keywords. Conclusion:Using text mining of the expert opinion in KIDS-KD, frequently mentioned ADRs and medications are easily recovered. Text mining inADRs research is able to play an important role in detecting signal information and prediction of ADRs.
목차
등록된 정보가 없습니다.
참고문헌 (19)
참고문헌 신청
/ / tm Package text Mining in R
Bate A / 1998 / A Bayesian neural network method for adverse drug reaction signal generation / Eur J Clin Pharmacol 54 : 315 ~ 321
Botsis T / 2011 / Text mining for the Vaccine Adverse Event Reporting System : medical text classification using informative feature selection / J Am Med Inform Assoc 18 : 6
DeMonaco HJ. / 2009 / Patient- and physician-oriented web sites and drug surveillance:Bisphosphonates and severe bone, joint, and muscle pain / Arch Intern Med 169 : 1164 ~
Duh MS / 2016 / Can social media data lead to earlier detection of drug-related adverse events? / Pharmacoepidemiol Drug Saf 25 : 1425 ~ 1433
Bate A / 1998 / A Bayesian neural network method for adverse drug reaction signal generation / Eur J Clin Pharmacol 54 : 315 ~ 321
Botsis T / 2011 / Text mining for the Vaccine Adverse Event Reporting System : medical text classification using informative feature selection / J Am Med Inform Assoc 18 : 6
DeMonaco HJ. / 2009 / Patient- and physician-oriented web sites and drug surveillance:Bisphosphonates and severe bone, joint, and muscle pain / Arch Intern Med 169 : 1164 ~
Duh MS / 2016 / Can social media data lead to earlier detection of drug-related adverse events? / Pharmacoepidemiol Drug Saf 25 : 1425 ~ 1433
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
단일기관에서 전산을 통해 수집된 자발적 소아 약물유해반응 보고사례의 분석
Allergy Asthma & Respiratory Diseases
2016 .01
-
Analysis of Adverse Drug Reactions to First-Line Anti-Tuberculosis Drugs Using the Korea Adverse Event Reporting System
Journal of Korean Medical Science
2022 .04
-
단일 대학병원의 지역의약품안전센터에 보고된 소아청소년의 약물유해반응 분석
Allergy Asthma & Respiratory Diseases
2018 .01
-
중증피부과민반응에 대한 약물이상반응 보고자료의 분석
병원약사회지
2017 .01
-
1차 항결핵제 약물이상반응 현황: 단일기관 약물이상사례 보고사례 기반 분석
대한내과학회지
2021 .10
-
Risk Factors Related to Serious Adverse Drug Reactions Reported through Electronic Submission during Hospitalization in Elderly Patients
Korean Journal of Family Medicine
2022 .03
-
Incidence and Economic Burden of Adverse Drug Reactions in Hospitalization: A Prospective Study in Korea
Journal of Korean Medical Science
2023 .02
-
L-asparaginase 약물 유해 반응 보고 분석
한국임상약학회지
2017 .01
-
Study of adverse drug reactions in pulmonary medicine department of a Tertiary care hospital, Srinagar, Jammu & Kashmir, India
셀메드
2021 .05
-
중동 호흡기 증후군 치료에 사용한 항바이러스제의 약물이상반응 발현양상 분석
병원약사회지
2017 .08
-
한방의료기관에서 자발적 보고된 한약의 약물이상사례 분석
병원약사회지
2017 .01
-
약물 유해 반응에 대한 간호사의 모니터링 실천에 관한 연구
간호행정학회지
2016 .01
-
자발적 보고자료를 이용한 노인의 약물유해반응 특성
대한내과학회지
2017 .06
-
Adverse Drug Reaction in the Neonatal Intensive Care Unit: A Single Center Study
Neonatal medicine
2015 .01
-
외과계 중환자실에서의 약물유해반응 탐색에 대한 방법론적 접근
병원약사회지
2017 .01
-
임상간호사의 안전분위기 인식과 약물 이상반응 보고 장애요인이 약물 이상반응 모니터링 실천에 미치는 영향
성인간호학회지
2018 .04
-
약물이상반응에 대한 응급구조학과 학생의 지식과 태도 조사
한국응급구조학회지
2021 .12
-
의약품 부작용 피해구제 제도
대한내과학회지
2018 .01
-
Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning
Healthcare Informatics Research
2020 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0