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Structure for standardizing evidence about drug-outcome relationship across disparate evidence soures

License: Apache License 2.0

R 100.00%
health-informatics

common-evidence-model's Introduction

CommonEvidenceModel

Introduction

The CommonEvidenceModel leverages work previously performed within LAERTES, also known as the OHDSI Knowledgebase. However the focus here is building infrastructure to update the incoming raw sources as well as the post processing of finding Negative Controls.

CEM Process Flow

This project is an offshoot of the OHDSI Knowledgebase which more inforamtion can be found here:

  • https://github.com/OHDSI/KnowledgeBase
  • Boyce RD, Ryan PB, Norén GN, Schuemie MJ, Reich C, Duke J, Tatonetti NP, Trifirò G, Harpaz R, Overhage JM, Hartzema AG, Khayter M, Voss EA, Lambert CG, Huser V, Dumontier M. Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest. Drug Saf. 2014 Aug;37(8):557-67. doi: 10.1007/s40264-014-0189-0. PubMed PMID: 24985530; PubMed Central PMCID: PMC4134480.
  • Voss EA, Boyce RD, Ryan PB, van der Lei J, Rijnbeek PR, Schuemie MJ. Accuracy of an automated knowledge base for identifying drug adverse reactions. J Biomed Inform. 2017 Feb;66:72-81. doi: 10.1016/j.jbi.2016.12.005. Epub 2016 Dec 16. PubMed PMID: 27993747; PubMed Central PMCID: PMC5316295.
  • Knowledge Base workgroup of the Observational Health Data Sciences and Informatics (OHDSI) collaborative. Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data. J Biomed Semantics. 2017 Mar 7;8(1):11. doi: 10.1186/s13326-017-0115-3. PubMed PMID: 28270198; PubMed Central PMCID: PMC5341176.

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