Predicting potential adverse events using safety data from marketed drugs

被引:0
|
作者
Chathuri Daluwatte
Peter Schotland
David G. Strauss
Keith K. Burkhart
Rebecca Racz
机构
[1] Food and Drug Administration,Division of Applied Regulatory Science
[2] Food and Drug Administration,Office of New Drugs
来源
关键词
Adverse reaction; Pharmacovigilance; Classifier; Computational biology;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Identifying Safety Thresholds for Immunosuppressive Drugs: Applying Insights from Primary Antibody Deficiencies to Mitigate Adverse Events in Secondary Antibody Deficiencies Using Mathematical Modeling of Preclinical and Early Clinical Data
    Kareva, Irina
    Zutshi, Anup
    Mateo, Cristina Vazquez
    Papasouliotis, Orestis
    EUROPEAN JOURNAL OF DRUG METABOLISM AND PHARMACOKINETICS, 2021, 46 (05) : 601 - 611
  • [42] Identifying Safety Thresholds for Immunosuppressive Drugs: Applying Insights from Primary Antibody Deficiencies to Mitigate Adverse Events in Secondary Antibody Deficiencies Using Mathematical Modeling of Preclinical and Early Clinical Data
    Irina Kareva
    Anup Zutshi
    Cristina Vazquez Mateo
    Orestis Papasouliotis
    European Journal of Drug Metabolism and Pharmacokinetics, 2021, 46 : 601 - 611
  • [43] Fatal adverse events of rivaroxaban combined with aspirin: an analysis using data from VigiBase
    Qingxia Zhang
    Qian Ding
    Suying Yan
    Qun-Ying Yue
    European Journal of Clinical Pharmacology, 2022, 78 : 1521 - 1526
  • [44] Predicting exacerbation events in COPD using administrative data
    Nelson, LS
    Mapel, DW
    Lydick, E
    Marton, J
    VALUE IN HEALTH, 2005, 8 (03) : 329 - 329
  • [45] Mining in Twitter for adverse events from malaria drugs: the case of doxycycline
    Duval, Felipe Vieira
    Barbosa da Silva, Fabricio Alves
    CADERNOS DE SAUDE PUBLICA, 2019, 35 (05):
  • [46] From Similarities to Probabilities: Feature Engineering for Predicting Drugs' Adverse Reactions
    Barakat, Nahla H.
    ElSabbagh, Ahmed H.
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2022, 32 (02): : 1207 - 1224
  • [47] Safety profile of carbapenems: Data mining of the FDA adverse events reporting system
    Ge, Wei
    Hu, Haixia
    Li, Chen
    Wang, Ling
    Xia, Jielai
    INTERNATIONAL JOURNAL OF CLINICAL PHARMACOLOGY AND THERAPEUTICS, 2021, 59 (09) : 594 - 602
  • [49] OCULAR ADVERSE EVENTS INDUCED BY DRUGS: A REVIEW OF THE SAFETY ALERTS ISSUED BY HEALTH REGULATORY AUTHORITIES
    Penedones, A.
    Mendes, D.
    Alves, C.
    Batel Marques, F.
    CLINICAL THERAPEUTICS, 2015, 37 (08) : E122 - E123
  • [50] Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning
    Du, Jingcheng
    Xiang, Yang
    Sankaranarayanapillai, Madhuri
    Zhang, Meng
    Wang, Jingqi
    Si, Yuqi
    Pham, Huy Anh
    Xu, Hua
    Chen, Yong
    Tao, Cui
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2021, 28 (07) : 1393 - 1400