High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study

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Journal
JMIR Research Protocols
Published
2025-09-15
DOI
https://doi.org/10.2196/77224
Primary Topic
Machine Learning in Healthcare
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article
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article

High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study

Amit X. Garg, Niaz Chalabianloo, Eric McArthur, M. Lynn Weir et al.
JMIR Research Protocols
Machine Learning in Healthcare
article

High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study

Amit X. Garg, Niaz Chalabianloo, Eric McArthur, M. Lynn Weir, Sheikh Shaugat Abdullah, Kamran Sedig, Flory Tsobo Muanda, Neda Rostamzadeh, R. D. Sharma, Jessica M. Sontrop
article en

Abstract

No abstract available for this paper.
JMIR Research ProtocolsVol. 14
Western University (CA), London Health Sciences Centre (CA), MacEwan University (CA)
Openalex Percentile: Top 85%
Machine Learning in Healthcare
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High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study — Amit X. Garg, Niaz Chalabianloo, et al. · JMIR Research Protocols (2025) | TGRS Research Map | TGRS