The Problem of Pain in the United States: A Population-Based Characterization of Biopsychosocial Correlates of High Impact Chronic Pain using the National Health Interview Survey.

[1]  J. Flynn,et al.  Machine Learning–Based Prediction of Masked Hypertension Among Children With Chronic Kidney Disease , 2022, Hypertension.

[2]  K. Cook,et al.  Comparing Perceived Pain Impact Between Younger and Older Adults With High Impact Chronic Pain: A Cross-Sectional Qualitative and Quantitative Survey , 2022, Frontiers in Pain Research.

[3]  S. Murthy,et al.  Prediction Model Performance With Different Imputation Strategies: A Simulation Study Using a North American ICU Registry , 2021, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[4]  A. R. Porras,et al.  Development and evaluation of a machine learning-based point-of-care screening tool for genetic syndromes in children: a multinational retrospective study. , 2021, The Lancet. Digital health.

[5]  J. Birt,et al.  Pain Medication and Corticosteroid Use in Ankylosing Spondylitis, Psoriatic Arthritis, and Rheumatoid Arthritis in the United States: A Retrospective Observational Study , 2021, Rheumatology and Therapy.

[6]  L. Hasbrouck Healthy People 2030: An Improved Framework , 2021, Health education & behavior : the official publication of the Society for Public Health Education.

[7]  R. Nahin Pain Prevalence, Chronicity and Impact within Subpopulations Based on Both Hispanic Ancestry and Race: United States, 2010-2017. , 2021, The journal of pain.

[8]  J. Birt,et al.  Corticosteroid dosing and opioid use are high in patients with SLE and remain elevated after belimumab initiation: a retrospective claims database analysis , 2020, Lupus science & medicine.

[9]  Z. Zimmer,et al.  Pain Trends Among American Adults, 2002–2018: Patterns, Disparities, and Correlates , 2020, Demography.

[10]  Jorge Amaral,et al.  Can machine learning be useful as a screening tool for depression in primary care? , 2020, Journal of psychiatric research.

[11]  P. Bertin,et al.  The burden of pain in rheumatoid arthritis: Impact of disease activity and psychological factors , 2020, European journal of pain.

[12]  T. Lavelle,et al.  Healthcare Costs and Opioid Use Associated with High-Impact Chronic Spinal Pain in the United States. , 2019, Spine.

[13]  Spencer S. Jones,et al.  Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis , 2019, Annals of emergency medicine.

[14]  James M. Dahlhamer,et al.  Prevalence of Chronic Pain and High-Impact Chronic Pain Among Adults — United States, 2016 , 2018, MMWR. Morbidity and mortality weekly report.

[15]  M. Bushnell,et al.  Prevalence and Profile of High-Impact Chronic Pain in the United States , 2018, The journal of pain : official journal of the American Pain Society.

[16]  C. Helmick,et al.  United States National Pain Strategy for Population Research: Concepts, Definitions, and Pilot Data. , 2016, The journal of pain : official journal of the American Pain Society.

[17]  C. Helmick,et al.  Updated Projected Prevalence of Self‐Reported Doctor‐Diagnosed Arthritis and Arthritis‐Attributable Activity Limitation Among US Adults, 2015–2040 , 2016, Arthritis & rheumatology.

[18]  P. Gustafson,et al.  Deriving and Validating A Risk Estimation Tool for Screening Asymptomatic Chlamydia and Gonorrhea , 2014, Sexually transmitted diseases.

[19]  Yvonne Vergouwe,et al.  Towards better clinical prediction models: seven steps for development and an ABCD for validation. , 2014, European heart journal.

[20]  Patrick Richard,et al.  The economic costs of pain in the United States. , 2012, The journal of pain : official journal of the American Pain Society.

[21]  M. Pierer,et al.  Opioids in rheumatic diseases , 2010, Annals of the New York Academy of Sciences.

[22]  N. Obuchowski,et al.  Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures , 2010, Epidemiology.

[23]  J. Riley,et al.  Acculturation and orofacial pain among Hispanic adults. , 2008, The journal of pain : official journal of the American Pain Society.

[24]  R. Portenoy,et al.  Population-based survey of pain in the United States: differences among white, African American, and Hispanic subjects. , 2004, The journal of pain : official journal of the American Pain Society.

[25]  Leo Breiman,et al.  Technical note: Some properties of splitting criteria , 2004, Machine Learning.

[26]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .