AIMC Topic: Drug-Related Side Effects and Adverse Reactions

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Applications of Machine Learning Methods in Drug Toxicity Prediction.

Current topics in medicinal chemistry Jan 1, 2018
Toxicity evaluation is an important part of the preclinical safety assessment of new drugs, which is directly related to human health and the fate of drugs. It is of importance to study how to evaluate drug toxicity accurately and economically. The t...
Humans Machine Learning Animals Drug-Related Side Effects and Adverse Reactions
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[Machine Learning-based Prediction of Seizure-inducing Action as an Adverse Drug Effect].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan Jan 1, 2018
　During the preclinical research period of drug development, animal testing is widely used to help screen out a drug's dangerous side effects. However, it remains difficult to predict side effects within the central nervous system. Here, we introduce...
Forecasting Animals Drug Discovery Humans Machine Learning Theophylline Enoxacin Strychnine Drug Evaluation, Preclinical Drug-Related Side Effects and Adverse Reactions Diphenhydramine Mice Seizures
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Machine Learning-Based Modeling of Drug Toxicity.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
Toxicity is an important reason for the failure of drug research and development (R&D). The traditional experimental testings for chemical toxicity profile are costly and time-consuming. Therefore, it is attractive to develop the effective and accura...
Molecular Structure Internet Pharmaceutical Preparations Drug Design Carcinogenesis Quantitative Structure-Activity Relationship Sequence Homology, Amino Acid Ether-A-Go-Go Potassium Channels Models, Biological Drug-Related Side Effects and Adverse Reactions Ligands Humans Machine Learning Software
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Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.

Drug safety Nov 1, 2017
The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (ADEs) with pharmaceutical products. This article is a comprehensive structured review of recent advances in applying natural language processing (NLP) ...
Pharmacovigilance Adverse Drug Reaction Reporting Systems Humans Electronic Health Records Natural Language Processing Drug-Related Side Effects and Adverse Reactions
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Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2017
OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal ...
Adverse Drug Reaction Reporting Systems Drug-Related Side Effects and Adverse Reactions Data Mining United States Food and Drug Administration Support Vector Machine Natural Language Processing Machine Learning ROC Curve Logistic Models United States Models, Theoretical
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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media data is infeasible due to data quantity, thus natural language processing techniques are necessary. Soc...
Humans Pharmacovigilance Social Media Natural Language Processing Drug-Related Side Effects and Adverse Reactions Neural Networks, Computer Machine Learning
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Active Monitoring of Adverse Drug Reactions with Neural Network Technology.

Chinese medical journal Jun 20, 2017
Humans Neural Networks, Computer Monitoring, Physiologic Drug-Related Side Effects and Adverse Reactions
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A comparative phase III clinical study to evaluate efficacy and safety of TrastuRel™ (biosimilar trastuzumab) and innovator trastuzumab in patients with metastatic human epidermal growth factor receptor 2 (HER2)-overexpressing breast cancer.

Indian journal of cancer Jan 1, 2017
INTRODUCTION: The present study for biosimilar trastuzumab was a multicentric, randomized, two-arm parallel-group, comparative phase III study in patients with metastatic breast cancer.
Middle Aged Aged Disease-Free Survival India Adult Receptor, ErbB-2 Breast Neoplasms Antineoplastic Combined Chemotherapy Protocols Trastuzumab Humans Remission Induction Female Drug-Related Side Effects and Adverse Reactions Biosimilar Pharmaceuticals Paclitaxel
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Adverse Drug Event Monitoring with Clinical and Laboratory Data Using Arden Syntax.

Studies in health technology and informatics Jan 1, 2017
In times of steadily increasing numbers of administered drugs, the detection of adverse drug events (ADEs) is an important aspect of improving patient safety. At present only about 1-13% of detected ADEs are reported. Raising the number of reported A...
Hyperkalemia Humans Patient Safety Knowledge Bases Pharmacovigilance Adverse Drug Reaction Reporting Systems Drug Monitoring Drug-Related Side Effects and Adverse Reactions
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Automating the Identification of Patient Safety Incident Reports Using Multi-Label Classification.

Studies in health technology and informatics Jan 1, 2017
Automated identification provides an efficient way to categorize patient safety incidents. Previous studies have focused on identifying single incident types relating to a specific patient safety problem, e.g., clinical handover. In reality, there ar...
Drug-Related Side Effects and Adverse Reactions Humans Patient Safety Support Vector Machine
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