Related references
Note: Only part of the references are listed.Assessing opioid overdose risk: a review of clinical prediction models utilizing patient-level data
Iraklis Erik Tseregounis et al.
TRANSLATIONAL RESEARCH (2021)
External validation of an opioid misuse machine learning classifier in hospitalized adult patients
Majid Afshar et al.
ADDICTION SCIENCE & CLINICAL PRACTICE (2021)
Predicting Opioid Use Disorder and Associated Risk Factors in a Medicaid Managed Care Population
Wanzhen Gao et al.
AMERICAN JOURNAL OF MANAGED CARE (2021)
Correlations between opioid mortality increases related to illicit/synthetic opioids and reductions of medical opioid dispensing-exploratory analyses from Canada
Benedikt Fischer et al.
BMC PUBLIC HEALTH (2020)
Understanding Opioid Use Disorder (OUD) using tree-based classifiers
Adway S. Wadekar
DRUG AND ALCOHOL DEPENDENCE (2020)
Using machine learning to predict opioid misuse among US adolescents
Dae-Hee Han et al.
PREVENTIVE MEDICINE (2020)
Predicting high-risk opioid prescriptions before they are given
Justine S. Hastings et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)
Opioid use disorder
John Strang et al.
NATURE REVIEWS DISEASE PRIMERS (2020)
Examining correlations between opioid dispensing and opioid-related hospitalizations in Canada, 2007-2016
Wayne Jones et al.
BMC HEALTH SERVICES RESEARCH (2020)
Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study
Wei-Hsuan Lo-Ciganic et al.
PLOS ONE (2020)
Development of a machine learning algorithm for early detection of opioid use disorder
Zvi Segal et al.
PHARMACOLOGY RESEARCH & PERSPECTIVES (2020)
Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning
Sarah McDougall et al.
2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) (2020)
Management of opioid use disorder in the USA: present status and future directions
Carlos Blanco et al.
LANCET (2019)
Predicting opioid dependence from electronic health records with machine learning
Randall J. Ellis et al.
BIODATA MINING (2019)
Risk Factors for Misuse of Prescribed Opioids: A Systematic Review and Meta-Analysis
Amber Cragg et al.
ANNALS OF EMERGENCY MEDICINE (2019)
Global patterns of opioid use and dependence: harms to populations, interventions, and future action
Louisa Degenhardt et al.
LANCET (2019)
Patterns and history of prescription drug use among opioid-related drug overdose cases in British Columbia, Canada, 2015-2016
Kate Smolina et al.
DRUG AND ALCOHOL DEPENDENCE (2019)
Prevention and Treatment of Opioid Misuse and Addiction A Review
Nora D. Volkow et al.
JAMA PSYCHIATRY (2019)
Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions
Wei-Hsuan Lo-Ciganic et al.
JAMA NETWORK OPEN (2019)
Healthcare costs and utilization associated with high-risk prescription opioid use: a retrospective cohort study
Hsien-Yen Chang et al.
BMC MEDICINE (2018)
Big Data and Machine Learning in Health Care
Andrew L. Beam et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)
POINTS OF SIGNIFICANCE Statistics versus machine learning
Danilo Bzdok et al.
NATURE METHODS (2018)
A prospective, longitudinal study to evaluate the clinical utility of a predictive algorithm that detects risk of opioid use disorder
Ashley Brenton et al.
JOURNAL OF PAIN RESEARCH (2018)
Correlations between population-levels of prescription opioid dispensing and related deaths in Ontario (Canada), 2005-2016
Benedikt Fischer et al.
PREVENTIVE MEDICINE (2018)
Artificial intelligence, machine learning and health systems
Trishan Panch et al.
JOURNAL OF GLOBAL HEALTH (2018)
A Predictive Algorithm to Detect Opioid Use Disorder: What Is the Utility in a Primary Care Setting?
Chee Lee et al.
HEALTH SERVICES RESEARCH AND MANAGERIAL EPIDEMIOLOGY (2018)
The widening gender gap in marijuana use prevalence in the US during a period of economic change, 2002-2014
Hannah Carliner et al.
DRUG AND ALCOHOL DEPENDENCE (2017)
Risk Factors for Opioid-Use Disorder and Overdose
Lynn R. Webster
ANESTHESIA AND ANALGESIA (2017)
Validation Study of a Predictive Algorithm to Evaluate Opioid Use Disorder in a Primary Care Setting
Maneesh Sharma et al.
HEALTH SERVICES RESEARCH AND MANAGERIAL EPIDEMIOLOGY (2017)
The Economic Burden of Prescription Opioid Overdose, Abuse, and Dependence in the United States, 2013
Curtis S. Florence et al.
MEDICAL CARE (2016)
Automated Prediction of Risk for Problem Opioid Use in a Primary Care Setting
Timothy R. Hylan et al.
JOURNAL OF PAIN (2015)
Rates of opioid misuse, abuse, and addiction in chronic pain: a systematic review and data synthesis
Kevin E. Vowles et al.
PAIN (2015)
Prescription Opioid Abuse: A Literature Review of the Clinical and Economic Burden in the United States
Roxanne Meyer et al.
POPULATION HEALTH MANAGEMENT (2014)
Estimating the Costs of Opioid Abuse and Dependence from an Employer Perspective: a Retrospective Analysis Using Administrative Claims Data
J. Rice et al.
APPLIED HEALTH ECONOMICS AND HEALTH POLICY (2014)
CLASSIFICATION OF IMBALANCED DATA: A REVIEW
Yanmin Sun et al.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2009)
De Facto Long-term Opioid Therapy for Noncancer Pain
Michael Von Korff et al.
CLINICAL JOURNAL OF PAIN (2008)
Cross-validation methods
MW Browne
JOURNAL OF MATHEMATICAL PSYCHOLOGY (2000)