Therapeutic indications and other use-case-driven updates in the drug ontology: anti-malarials, anti-hypertensives, opioid analgesics, and a large term request

Author:

Hogan William R.,Hanna Josh,Hicks Amanda,Amirova Samira,Bramblett Baxter,Diller Matthew,Enderez Rodel,Modzelewski Timothy,Vasconcelos Mirela,Delcher Chris

Funder

Patient-Centered Outcomes Research Institute

National Center for Advancing Translational Sciences

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Health Informatics,Computer Science Applications,Information Systems

Reference24 articles.

1. Hanna J, Bian J, Hogan WR. An accurate and precise representation of drug ingredients. J Biomed Semantics. 2016;7:7.

2. Hanna J, Joseph E, Brochhausen M, Hogan WR. Building a drug ontology based on RxNorm and other sources. J Biomed Semantics. 2013;4(1):44.

3. Hogan WR, Hanna J, Joseph E, Brochhausen M. Towards a Consistent and Scientifically Accurate Drug Ontology. In: International Conference on Biomedical Ontology 2013; Montreal, Quebec. Available at: http://ceur-ws.org/Vol-1061/Paper7_vdos2013.pdf 2013.

4. Hripcsak G, Duke JD, Shah NH, Reich CG, Huser V, Schuemie MJ, Suchard MA, Park RW, Wong IC, Rijnbeek PR, et al. Observational Health Data Sciences and Informatics (OHDSI): opportunities for observational researchers. Stud Health Technol Inform. 2015;216:574–8.

5. Fleurence RL, Curtis LH, Califf RM, Platt R, Selby JV, Brown JS. Launching PCORnet, a national patient-centered clinical research network. J Am Med Inform Assoc. 2014;21(4):578–82.

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