ndc-classes

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Authors: Nicholas Landry
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Abstract

Overview This dataset consists of the pharmaceutical classes used to classify drugs in the National Drug Code Directory maintained by the Food and Drug Administration between 1946 and 2017. The original data was downloaded from the FDA. This is a temporal hypergraph dataset, which here means a sequence of timestamped hyperedges where each hyperedge is a set of nodes. Timestamps are in ISO8601 format. In the original dataset, the same drug substance can have more than one NDC code. For example, different dosages of the same drug may result in multiple NDC codes. Statistics Some basic statistics of this dataset are: Number of nodes: 1,161 Number of timestamped hyperedges: 49,726 distribution of the connected components: Component Size, Number 628, 1 60, 1 26, 1 18, 1 8, 2 7, 3 6, 2 5, 2 4, 11 3, 20 2, 127 1, 12 Changelog v0.1: Updated format to HIF Source of original data Sources: NDC-classes dataset FDA References If you use this dataset, please cite these references: Simplicial closure and higher-order link prediction, Austin R. Benson, Rediet Abebe, Michael T. Schaub, Ali Jadbabaie, and Jon Kleinberg. Proceedings of the National Academy of Sciences (PNAS), 2018.

Fields of Study & Subjects

Computational Drug Discovery Methods Text and Document Classification Technologies Machine Learning in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 August 2026
Language
EN
Document type
Dataset