English
Related papers

Related papers: Detect adverse drug reactions for the drug Pravast…

200 papers

Adverse drug reactions (ADRs) are big concern for public health. ADRs are one of most common causes to withdraw some drugs from markets. Now two major methods for detecting ADRs are spontaneous reporting system (SRS), and prescription event…

Computational Engineering, Finance, and Science · Computer Science 2013-09-02 Yihui Liu , Uwe Aickelin

Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market. Prescription event monitoring (PEM) is an important approach to detect the adverse drug…

Machine Learning · Computer Science 2014-09-03 Yihui Liu , Uwe Aickelin

Adverse drug reactions (ADR) are widely concerning for public health issue. In this study we propose an original approach to detect ADRs using a feature matrix and feature selection. The experiments are carried out on the drug Simvastatin.…

Computational Engineering, Finance, and Science · Computer Science 2014-09-04 Yihui Liu , Uwe Aickelin

Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Aspirin. Major…

Computational Engineering, Finance, and Science · Computer Science 2014-09-03 Yihui liu , Uwe Aickelin

Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Simvastatin.…

Computational Engineering, Finance, and Science · Computer Science 2013-07-05 Yihui Liu , Uwe Aickelin

In this study we propose a novel method to successfully detect the ADRs using feature matrix and feature selection. A feature matrix, which characterizes the medical events before patients take drugs or after patients take drugs, is created…

Computational Engineering, Finance, and Science · Computer Science 2016-11-17 Yihui Liu , Uwe Aickelin

Adverse drug reactions (ADRs) are unwanted or harmful effects experienced after the administration of a certain drug or a combination of drugs, presenting a challenge for drug development and drug administration. In this paper, we present a…

Computation and Language · Computer Science 2019-05-29 Maksim Belousov , Nikola Milosevic , William Dixon , Goran Nenadic

Adverse drug reactions (ADRs) induced from high-order drug-drug interactions (DDIs) due to polypharmacy represent a significant public health problem. In this paper, we formally formulate the to-avoid and safe (with respect to ADRs) drug…

Information Retrieval · Computer Science 2018-03-09 Wen-Hao Chiang , Li Shen , Lang Li , Xia Ning

Adverse Drug Reaction (ADR) is a significant public health concern world-wide. Numerous graph-based methods have been applied to biomedical graphs for predicting ADRs in pre-marketing phases. ADR detection in post-market surveillance is no…

Machine Learning · Computer Science 2020-04-02 Heeyoung Kwak , Minwoo Lee , Seunghyun Yoon , Jooyoung Chang , Sangmin Park , Kyomin Jung

Adverse reactions caused by drugs following their release into the market are among the leading causes of death in many countries. The rapid growth of electronically available health related information, and the ability to process large…

Computation and Language · Computer Science 2016-10-11 Abbas Chokor , Abeed Sarker , Graciela Gonzalez

Adverse drug reactions / events (ADR/ADE) have a major impact on patient health and health care costs. Detecting ADR's as early as possible and sharing them with regulators, pharma companies, and healthcare providers can prevent morbidity…

Computation and Language · Computer Science 2022-01-07 Hasham Ul Haq , Veysel Kocaman , David Talby

Adverse drug events (ADEs) are unexpected incidents caused by the administration of a drug or medication. To identify and extract these events, we require information about not just the drug itself but attributes describing the drug (e.g.,…

Computation and Language · Computer Science 2021-04-23 Darshini Mahendran , Bridget T. McInnes

Complex or co-existing diseases are commonly treated using drug combinations, which can lead to higher risk of adverse side effects. The detection of polypharmacy side effects is usually done in Phase IV clinical trials, but there are still…

Machine Learning · Statistics 2019-05-03 Andreea Deac , Yu-Hsiang Huang , Petar Veličković , Pietro Liò , Jian Tang

We study the problem of detecting adverse drug events in electronic healthcare records. The challenge in this work is to aggregate heterogeneous data types involving diagnosis codes, drug codes, as well as lab measurements. An earlier…

Machine Learning · Computer Science 2019-07-16 Maria Bampa , Panagiotis Papapetrou

Adverse Drug Reactions (ADRs) are characterized within randomized clinical trials and postmarketing pharmacovigilance, but their molecular mechanism remains unknown in most cases. Aside from clinical trials, many elements of knowledge about…

Adverse reaction caused by drugs is a potentially dangerous problem which may lead to mortality and morbidity in patients. Adverse Drug Event (ADE) extraction is a significant problem in biomedical research. We model ADE extraction as a…

Computation and Language · Computer Science 2018-01-03 Suriyadeepan Ramamoorthy , Selvakumar Murugan

Automatic monitoring of adverse drug events (ADEs) or reactions (ADRs) is currently receiving significant attention from the biomedical community. In recent years, user-generated data on social media has become a valuable resource for this…

Computation and Language · Computer Science 2023-11-21 Ilseyar Alimova , Elena Tutubalina

An adverse drug effect (ADE) is any harmful event resulting from medical drug treatment. Despite their importance, ADEs are often under-reported in official channels. Some research has therefore turned to detecting discussions of ADEs in…

Computation and Language · Computer Science 2024-07-03 Dorothea MacPhail , David Harbecke , Lisa Raithel , Sebastian Möller

The mining of adverse drug events (ADEs) is pivotal in pharmacovigilance, enhancing patient safety by identifying potential risks associated with medications, facilitating early detection of adverse events, and guiding regulatory…

Artificial Intelligence · Computer Science 2024-10-04 Pranab Sahoo , Ayush Kumar Singh , Sriparna Saha , Aman Chadha , Samrat Mondal

Adverse drug reaction (ADR) prediction plays a crucial role in both health care and drug discovery for reducing patient mortality and enhancing drug safety. Recently, many studies have been devoted to effectively predict the drug-ADRs…

Information Retrieval · Computer Science 2023-08-08 Haoxuan Li , Taojun Hu , Zetong Xiong , Chunyuan Zheng , Fuli Feng , Xiangnan He , Xiao-Hua Zhou
‹ Prev 1 2 3 10 Next ›