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.

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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
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article

A Data Mining Approach on Polypharmacy and Drug-drug Interactions of Common Diabetes Medications

Pranay Wal, Amin Gasmi, Deepak Nathiya, Jyotsana Dwivedi et al.
7 citations
Current Drug Metabolism
Computational Drug Discovery Methods
10.53
article

A Data Mining Approach on Polypharmacy and Drug-drug Interactions of Common Diabetes Medications

Pranay Wal, Amin Gasmi, Deepak Nathiya, Jyotsana Dwivedi, Ankita Sharma, Shubhi Kaushal
article en
7 citations

Abstract

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.

Current Drug MetabolismVol. 26(1)
Yenepoya University (IN), NIMS University (IN)
Good health and well-being
Openalex Percentile: Top 2%
Computational Drug Discovery Methods
10.53
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A Data Mining Approach on Polypharmacy and Drug-drug Interactions of Common Diabetes Medications — Pranay Wal, Amin Gasmi, et al. · Current Drug Metabolism (2025) | TGRS Research Map | TGRS