Automatic signal extraction, prioritizing and filtering approaches in detecting post-marketing cardiovascular events associated with targeted cancer drugs from the FDA Adverse Event Reporting System (FAERS)

Benzer Materyaller

• Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection
  Yazar:: Xu, Rong, ve diğerleri
  Baskı/Yayın Bilgisi: (2014)
• Immunotherapy-related adverse events (irAEs): extraction from FDA drug labels and comparative analysis
  Yazar:: Wang, QuanQiu, ve diğerleri
  Baskı/Yayın Bilgisi: (2018)
• Automatic extraction, prioritization and analysis of gut microbial metabolites from biomedical literature
  Yazar:: Wang, QuanQiu, ve diğerleri
  Baskı/Yayın Bilgisi: (2020)
• Post-marketing safety profile and clinical prioritization of adverse events with avacopan in ANCA-associated vasculitis: a FAERS pharmacovigilance analysis
  Yazar:: Zhenyao Yang, ve diğerleri
  Baskı/Yayın Bilgisi: (2025-12-01)
• CoMNRank: an integrated approach to extract and prioritize human microbial metabolites from MEDLINE records
  Yazar:: Wang, QuanQiu, ve diğerleri
  Baskı/Yayın Bilgisi: (2020)