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
  • [1] Predicting potential adverse events using safety data from marketed drugs
    Daluwatte, Chathuri
    Schotland, Peter
    Strauss, David G.
    Burkhart, Keith K.
    Racz, Rebecca
    BMC BIOINFORMATICS, 2020, 21 (01)
  • [2] Using patient safety indicators to estimate the impact of potential adverse events on outcomes
    Rivard, Peter E.
    Luther, Stephen L.
    Christiansen, Cindy L.
    Zhao, Shibei
    Loveland, Susan
    Elixhauser, Anne
    Romano, Patrick S.
    Rosen, Amy K.
    MEDICAL CARE RESEARCH AND REVIEW, 2008, 65 (01) : 67 - 87
  • [3] Adverse Events and Safety Profile of the COVID-19 Vaccines in Adolescents: Safety Monitoring for Adverse Events Using Real-World Data
    Lee, Chae Won
    Sa, Soonok
    Hong, Myunghee
    Kim, Jihyun
    Shim, Sung Ryul
    Han, Hyun Wook
    VACCINES, 2022, 10 (05)
  • [4] Adverse drug events: Validating post marketed safety signals with pooled clinical trial results
    Petrie, Rose
    Barton, Rianna
    Overstreet, Brian Overstreet
    Davis, James
    Kyle, Robert
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2018, 27 : 253 - 254
  • [5] Detecting potential signals of adverse drug events from prescription data
    Zhan, Chen
    Roughead, Elizabeth
    Liu, Lin
    Pratt, Nicole
    Li, Jiuyong
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2020, 104
  • [6] Adverse events associated with potential drugs for COVID-19: a case study from real-world data
    Jing, Ying
    Diao, Lixia
    Han, Leng
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (02) : 1232 - 1238
  • [7] Adverse Events of Antiepileptic Drugs Using Indonesian Version of Liverpool Adverse Events Profile
    Budikayanti, Astri
    Qadri, Lubna Muhammad
    Syeban, Zakiah
    Indrawati, Luh Ari
    Octaviana, Fitri
    NEUROLOGY RESEARCH INTERNATIONAL, 2018, 2018
  • [8] Data Stream Models for Predicting Adverse Events in a War Theater
    Shi, Donghui
    Karwowski, Waldemar
    Zurada, Jozef
    Guan, Jian
    PROCEEDINGS OF THE 52ND ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 2019, : 1164 - 1173
  • [9] Using administrative data to identify surgical adverse events: an introduction to the Patient Safety Indicators
    Kaafarani, Haytham M. A.
    Rosen, Amy K.
    AMERICAN JOURNAL OF SURGERY, 2009, 198 (5A): : S63 - S68