iSATed Web Talk on Machine Learning Approached with Dr. Yinfei Kong
Dr. Yinfei Kong, from CSU Fullertion shares the latest machine learning methods to explore big data in health care systems.
Research to End Healthcare Disparities
Articles
Creating an Effective Telehealth Patient Experience for MOUD During the COVID-19 Pandemic
Leadership Approaches to Developing an Effective Drug Treatment System
Management Practices to Enhance the Effectiveness of Substance Use Disorder Treatment
Identifying relative strength of methadone versus health and social services in comprehensive substance use disorder treatment using a variance decomposition approach
A bifurcated opioid treatment system and widening insidious disparities.
Disparities in expected driving time to opioid treatment and treatment completion: findings from an exploratory study
Disparities in opioid treatment access and retention among women based on pregnancy status from 2006 to 2017.
Using machine learning to advance disparities research: Subgroup analyses of access to opioid treatment
Gender disparities in opioid treatment progress in methadone versus counseling
Gender disparities in access and retention in outpatient methadone treatment for opioid use disorder in low-income urban communities
Identifying gender differences in risk profiles and in opioid treatment outcomes in Los Angeles County
Health care use and spending for Medicaid patients diagnosed with opioid use disorder receiving primary care in Federally Qualified Health Centers and other primary care settings.
A new @opioidtx study reveals the importance of Medicaid coverage, methadone, and delivery of health and social services to improve access and retention of pregnant and non-pregnant women in Los Angeles, California.
Wednesday, May 15, 2024