A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic

05/27/2019
by   Maulik R. Kamdar, et al.
0

The United States is in the midst of an opioid epidemic with recent estimates indicating that more than 130 people die every day due to drug overdose. The over-prescription and addiction to opioid painkillers, heroin, and synthetic opioids, has led to a public health crisis and created a huge social and economic burden. Statistical learning methods that use data from multiple clinical centers across the US to detect opioid over-prescribing trends and predict possible opioid misuse are required. However, the semantic heterogeneity in the representation of clinical data across different centers makes the development and evaluation of such methods difficult and non-trivial. We create the Opioid Drug Knowledge Graph (ODKG) -- a network of opioid-related drugs, active ingredients, formulations, combinations, and brand names. We use the ODKG to normalize drug strings in a clinical data warehouse consisting of patient data from over 400 healthcare facilities in 42 different states. We showcase the use of ODKG to generate summary statistics of opioid prescription trends across US regions. These methods and resources can aid the development of advanced and scalable models to monitor the opioid epidemic and to detect illicit opioid misuse behavior. Our work is relevant to policymakers and pain researchers who wish to systematically assess factors that contribute to opioid over-prescribing and iatrogenic opioid addiction in the US.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/30/2021

Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding

Drug repurposing is more relevant than ever due to drug development's ri...
research
05/20/2021

Predicting Potential Drug Targets Using Tensor Factorisation and Knowledge Graph Embeddings

The drug discovery and development process is a long and expensive one, ...
research
05/15/2018

Insights from Statistical Analysis of Opioid Data

Opioid overdose has emerged as a full blown epidemic in the United State...
research
06/03/2022

Modeling electronic health record data using a knowledge-graph-embedded topic model

The rapid growth of electronic health record (EHR) datasets opens up pro...
research
09/23/2020

Drug Repurposing for COVID-19 using Graph Neural Network with Genetic, Mechanistic, and Epidemiological Validation

Amid the pandemic of 2019 novel coronavirus disease (COVID-19) infected ...
research
04/24/2018

Characterizing Allegheny County Opioid Overdoses with an Interactive Data Explorer and Synthetic Prediction Tool

The United States has an opioid epidemic, and Pennsylvania's Allegheny C...
research
12/16/2020

Investigating ADR mechanisms with knowledge graph mining and explainable AI

Adverse Drug Reactions (ADRs) are characterized within randomized clinic...

Please sign up or login with your details

Forgot password? Click here to reset