A Data Mining Approach on Polypharmacy and Drug-drug Interactions of Common Diabetes Medications
Finding and evaluating DDIs in polypharmacy related to diabetes care are made possible through data mining. These results could potentially improve patient safety by influencing more individualized and cautious prescription techniques. The improvement of these methods and their application in standard clinical practice should be the main goal of future studies.
Authors
- Pranay Wal (ORCID: https://orcid.org/0000-0002-6342-6290)
- Amin Gasmi (ORCID: https://orcid.org/0000-0003-2165-8373)
- Deepak Nathiya (ORCID: https://orcid.org/0000-0001-7231-0620)
- Jyotsana Dwivedi
- Ankita Sharma (ORCID: https://orcid.org/0000-0002-6672-3362)
- Shubhi Kaushal
Institutions
- Yenepoya University (IN)
- NIMS University (IN)
Publication Details
- Journal
- Current Drug Metabolism
- Published
- 2025-04-18
- DOI
- https://doi.org/10.2174/0113892002358291250401190533
- Citations
- 7
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 10.53