A pipeline to extract drug-adverse event pairs from multiple data sources
about
Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping ReviewUtilizing social media data for pharmacovigilance: A reviewSystematic review on the prevalence, frequency and comparative value of adverse events data in social media.The SIDER database of drugs and side effectsExploiting heterogeneous publicly available data sources for drug safety surveillance: computational framework and case studies.Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest.Portable automatic text classification for adverse drug reaction detection via multi-corpus training.Leveraging MEDLINE indexing for pharmacovigilance - Inherent limitations and mitigation strategies.Social media and pharmacovigilance: A review of the opportunities and challenges.Extraction of a group-pair relation: problem-solving relation from web-board documents.Filtering Entities to Optimize Identification of Adverse Drug Reaction From Social Media: How Can the Number of Words Between Entities in the Messages Help?The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance ProcessMining Patients' Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate.
P2860
Q26824283-AE40D2B5-089B-4434-B472-82D0A72E7DB5Q27025237-6621E3C0-0053-4927-AFFD-58A955BB5E65Q27687556-DC4810CE-21EE-48CB-B30D-3C68963DB3B1Q30002337-01DFC3C9-57BC-4A0D-B993-5F1A3618819AQ31140921-A1B4F2D2-CB2D-4B8F-8052-C12AB527B020Q34051886-5A6DA07A-00AB-4088-95FF-739AC5E01CE8Q35164490-A83FEC2C-C66D-4F17-AB28-E8E54777AF24Q35765427-C87C1ECD-48C3-4B50-ADAA-15FCC2CB1B19Q36125558-4542EC87-EF18-4780-99EB-4431BF4ED39FQ38388675-30633C7B-C744-45B0-8E32-91C95968E957Q40955862-4413D926-7B32-4822-8871-D78E6B53FE4FQ42371080-8F21A413-D7A4-47D2-8408-6B2C4EC98312Q55115862-610565FD-9878-432C-9D6F-7800F81BE0ED
P2860
A pipeline to extract drug-adverse event pairs from multiple data sources
description
2014 nî lūn-bûn
@nan
2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
A pipeline to extract drug-adverse event pairs from multiple data sources
@ast
A pipeline to extract drug-adverse event pairs from multiple data sources
@en
A pipeline to extract drug-adverse event pairs from multiple data sources
@nl
type
label
A pipeline to extract drug-adverse event pairs from multiple data sources
@ast
A pipeline to extract drug-adverse event pairs from multiple data sources
@en
A pipeline to extract drug-adverse event pairs from multiple data sources
@nl
prefLabel
A pipeline to extract drug-adverse event pairs from multiple data sources
@ast
A pipeline to extract drug-adverse event pairs from multiple data sources
@en
A pipeline to extract drug-adverse event pairs from multiple data sources
@nl
P2093
P2860
P3181
P356
P1476
A pipeline to extract drug-adverse event pairs from multiple data sources
@en
P2093
Aditya Rao
Rajgopal Srinivasan
Srijyothsna Yeleswarapu
Vangala Govindakrishnan Saipradeep
P2860
P2888
P3181
P356
10.1186/1472-6947-14-13
P407
P577
2014-02-24T00:00:00Z
P5875
P6179
1011625370