Early Detection of Adverse Drug Reaction Signals by Association Rule Mining Using Large-Scale Administrative Claims Data.

ABSTRACT:

Introduction

Adverse drug reactions (ADRs) are a leading cause of mortality worldwide and should be detected promptly to reduce health risks to patients. A data-mining approach using large-scale medical records might be a useful method for the early detection of ADRs. Many studies have analyzed medical records to detect ADRs; however, most of them have focused on a narrow range of ADRs, limiting their usefulness.

Objective

This study aimed to identify methods for the early detection of a wide range of ADR signals.

Methods

First, to evaluate the performance in signal detection of ADRs by data-mining, we attempted to create a gold standard based on clinical evidence. Second, association rule mining (ARM) was applied to patient symptoms and medications registered in clai

SUBMITTER: Yamamoto H 

PROVIDER: S-EPMC10113351 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature