Identification of polypharmacy patterns in new‐users of metformin using the Apriori algorithm: A novel framework for investigating concomitant drug utilization through association rule mining
- DOI
- 10.1002/pds.5583
- Published
- 2023-01-09
- Container
- Pharmacoepidemiology and Drug Safety
- Publisher
- Wiley
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1002/pds.5583,
title = {Identification of polypharmacy patterns in new‐users of metformin using the Apriori algorithm: A novel framework for investigating concomitant drug utilization through association rule mining},
author = {Maria Luisa Faquetti and Adrian Martinez‐De la Torre and Theresa Burkard and Guillaume Obozinski and Andrea M. Burden},
year = {2023},
journal = {Pharmacoepidemiology and Drug Safety},
doi = {10.1002/pds.5583},
url = {https://doi.org/10.1002/pds.5583}
}RIS
TY - JOUR TI - Identification of polypharmacy patterns in new‐users of metformin using the Apriori algorithm: A novel framework for investigating concomitant drug utilization through association rule mining AU - Maria Luisa Faquetti AU - Adrian Martinez‐De la Torre AU - Theresa Burkard AU - Guillaume Obozinski AU - Andrea M. Burden PY - 2023 JO - Pharmacoepidemiology and Drug Safety DO - 10.1002/pds.5583 UR - https://doi.org/10.1002/pds.5583 ER -
APA
Faquetti, M. L., Torre, A. M. L., Burkard, T., Obozinski, G., & Burden, A. M. (2023). Identification of polypharmacy patterns in new‐users of metformin using the Apriori algorithm: A novel framework for investigating concomitant drug utilization through association rule mining. Pharmacoepidemiology and Drug Safety. https://doi.org/10.1002/pds.5583
Source records
- crossref · retrieved 2026-09-25T04:01:10.227Z