A High-Fidelity Combined ATC-Rxnorm Drug Hierarchy for Large-Scale Observational Research

Ostropolets, A., Talapova, P., De Wilde, M., Abedtash, H., Rijnbeek, P., & Reich, C. G. (2024). A High-Fidelity Combined ATC-Rxnorm Drug Hierarchy for Large-Scale Observational Research. MEDINFO 2023 — The Future Is Accessible. https://doi.org/10.3233/shti230926

Authors:

Anna Ostropolets

Polina Talapova

Marcel De Wilde

Hamed Abedtash

Peter Rijnbeek

Christian G Reich

Affiliated Authors:

Anna Ostropolets

Columbia Affiliation:

Vagelos College of Physicians and Surgeons
- Department of Biomedical Informatics

Subjects:

Biomedical Ontologies and Text Mining (OpenAlex Topic)

Deep Learning Applications in Healthcare (OpenAlex Topic)

Computational Methods in Drug Discovery (OpenAlex Topic)

RxNorm (MeSH)

Author Keywords:

atc

rxnorm

drug safety

drug surveillance

observational research

elink

Publication Type:

Article

Unique ID:

10.3233/shti230926

PMID:

38269764

DOI:

10.3233/shti230926

Journal:

Studies in Health Technology and Informatics

Publication Date:

2024-01-25

Data Source:

PubMed

Source Link:

View PubMed Record

View OpenAlex Record

Record Created:

Friday, July 26, 2024 - 10:00