Analyzing adverse drug reaction using statistical and machine learning methods: A systematic review
HR Kim, MD Sung, JA Park, K Jeong, HH Kim, S Lee… - Medicine, 2022 - journals.lww.com
Background: Adverse drug reactions (ADRs) are unintended negative drug-induced
responses. Determining the association between drugs and ADRs is crucial, and several …
responses. Determining the association between drugs and ADRs is crucial, and several …
Use of electronic health record data for drug safety signal identification: a scoping review
Introduction Pharmacovigilance programs protect patient health and safety by identifying
adverse event signals through postmarketing surveillance of claims data and spontaneous …
adverse event signals through postmarketing surveillance of claims data and spontaneous …
Propensity score‐adjusted three‐component mixture model for drug‐drug interaction data mining in FDA Adverse Event Reporting System
With increasing trend of polypharmacy, drug‐drug interaction (DDI)‐induced adverse drug
events (ADEs) are considered as a major challenge for clinical practice. As premarketing …
events (ADEs) are considered as a major challenge for clinical practice. As premarketing …
Drug-drug interaction prediction based on co-medication patterns and graph matching
High-order drug-drug interactions (DDIs) and associated adverse drug reactions (ADRs) are
common, particularly for elderly people, and therefore represent a significant public health …
common, particularly for elderly people, and therefore represent a significant public health …
Deep learning for high-order drug-drug interaction prediction
Drug-drug interactions (DDIs) and their associated adverse drug reactions (ADRs) represent
a significant detriment to the public health. Existing research on DDIs is primarily focused on …
a significant detriment to the public health. Existing research on DDIs is primarily focused on …
Application of an Innovative Data Mining Approach Towards Safe Polypharmacy Practice in Older Adults
Introduction Polypharmacy is common and is associated with higher risk of adverse drug
event (ADE) among older adults. Knowledge on the ADE risk level of exposure to different …
event (ADE) among older adults. Knowledge on the ADE risk level of exposure to different …
Random control selection for conducting high‐throughput adverse drug events screening using large‐scale longitudinal health data
Case‐control design based high‐throughput pharmacoinformatics study using large‐scale
longitudinal health data is able to detect new adverse drug event (ADEs) signals. Existing …
longitudinal health data is able to detect new adverse drug event (ADEs) signals. Existing …
A super‐combo‐drug test to detect adverse drug events and drug interactions from electronic health records in the era of polypharmacy
Pharmacoinformatics research has experienced a great deal of successes in detecting drug‐
induced adverse events (AEs) using large‐scale health record databases. In the era of …
induced adverse events (AEs) using large‐scale health record databases. In the era of …
Pattern discovery from high-order drug-drug interaction relations
Drug-drug interactions (DDIs) and associated adverse drug reactions (ADRs) represent a
significant public health problem in the USA. The research presented in this manuscript …
significant public health problem in the USA. The research presented in this manuscript …
[PDF][PDF] Analiza faktora rizika za nastanak nepoželjnih interakcija lekova kod pacijenata u neurološkoj jedinici intenzivne nege
D Aleksić - Универзитет у Крагујевцу, 2020 - nardus.mpn.gov.rs
САЖЕТАК Увод: Клинички релевантне потенцијалне интеракције лекова (ПИЛ)
сматрају се нежељеним реакцијама на лек које се могу спречити. Циљ ове дисертације …
сматрају се нежељеним реакцијама на лек које се могу спречити. Циљ ове дисертације …