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Building a Heroin Abuse Prediction Model: A Generalized Machine Learning Approach
Aims: In the modern era, substance abuse is a global problem. CDC’s (Centre for Disease Control) National Center for Health Statistics reported in...
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Technology for Drug Safety: Challenges
This chapter aims to discuss the challenges associated with the use of technology in various aspects of drug safety issues, including drug...
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Technology for Drug Safety: Recommendations
Advancements in technology have significantly impacted medication safety and pharmacovigilance. The accurate reporting of adverse drug reactions,...
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Detection of Drug Abuse Using Rough Set and Neural Network-Based Elevated Mathematical Predictive Modelling
In the smart world scenario, the application of the Internet of Things is manifold as its utilization can be observed in health care services, home,...
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Computer Technologies for Drug Safety
Computer technology plays a crucial role in ensuring drug safety by facilitating the collection, analysis, and dissemination of drug-related data....
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Blockchain for Drug Safety
Blockchain technology has gained widespread attention in recent years due to its potential applications in various industries. One of the promising...
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Understanding Drug Abuse Social Network Using Weighted Graph Neural Networks Explainer
Relational data are universal in today’s society, such as social media network, citation network, and molecules. They can be transformed into graph...
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IFM-RCNN: a hybrid text classifier with enhanced performance of binary drug classification from tweets using improved faster mask-recurrent convolutional neural network
The significant growth of social media and online websites helps to garner a significant amount of healthcare data and contributes toward the...
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Bayesian Spatial–Temporal Models for Drug Abuse
The drug abuse crisis has become a national emergency in the USA. Based on drug abuse data for Ohio, Kentucky, West Virginia, Virginia, and...
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Blockchain-Based Drug Regulation System
Unauthorised access to drugs and the sale of counterfeit or substandard drugs are severe global problems with considerable risks to consumers and the...
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Research and Application of an Intelligent Anesthesia Drug Management System Based on Internet of Things Technology
This study aimed to analyze the application effect of intelligent medication management system in clinical anesthesia management and explore its role...
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Fine Grained Categorization of Drug Usage Tweets
Drug misuse and overdose has plagued the United States over the past decades and has severely impacted several communities and families. Often, it is...
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Detection and Analysis of Drug Non-compliance in Internet Fora Using Information Retrieval Approaches
In the health-related field, drug non-compliance situations happen when patients do not follow their prescriptions and do actions which lead to...
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Integrating Computer Vision and Crowd Sourcing to Infer Drug Use on Streets: A Case Study with 311 Data in San Francisco
Use of illegal drugs has been a bane of society for decades, and the problem is only increasing globally. Billions of dollars, time, effort and...
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Shedding Light on Monopoly: Temporal Analysis of Drug Trades
Dark marketplaces pioneered a new way to monetise illicit goods. A unique combination of technologies (such as overlay networks, end-to-end...
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A BERT-based recommender system for secure blockchain-based cyber physical drug supply chain management
Drug Supply Chain Management (DSCM) can be one of the most affected streams in healthcare due to pandemics. The delivery of medicine to patients...
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GNN-based Biomedical Knowledge Graph Mining in Drug Development
Drug discovery and development (D3) is an extremely expensive and time consuming process. It takes tens of years and billions of dollars to make a...
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Drug Abuse Detection via Broad Learning
Prescription drug abuse is one of the fastest growing public health problems in the USA. This work develops a broad learning method for Drug Abuse...
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Resting-State Electroencephalography (EEG)-Based Diagnosis System for Drug-Naive Female Major Depressive Disorder Patients
A resting-state EEG-based computer-aided diagnosis (CAD) system could assist the accurate diagnosis of major depressive disorder (MDD) patients. The...
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Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions
Twitter has been a remarkable resource for research in pharmacovigilance in the last decade. Traditionally, rule- or lexicon-based methods have been...
