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AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
January 15, 2024
Predicting premature discontinuation of medication for opioid use disorder from electronic medical records
Ivan Lopez, Sajjad Fouladvand, Scott Kollins, et al.
Alcohol and Alcoholism (Oxford, Oxfordshire)
|
March 5, 2026
A missed opportunity: a retrospective cohort study of alcohol use disorder pharmacotherapy in hospitalized patients
Michka Nazon, Paola Lavin, C William Pike, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 15, 2024
Which social media platforms facilitate monitoring the opioid crisis?
Kristy A Carpenter, Anna T Nguyen, Delaney A Smith, et al.
Journal of Psychiatric Research
|
January 11, 2014
Plasma oxytocin concentrations are lower in depressed vs. healthy control women and are independent of cortisol
Kaeli W Yuen, Joseph P Garner, Dean S Carson, et al.
BMJ Open
|
March 20, 2026
The Montreal model of ketamine-therapy for alcohol use disorder and comorbid treatment-resistant depression: protocol for a feasibility trial
Christina McAnulty, Philippe Lavoie, Samuel Cyr, et al.
BMJ Open
|
July 1, 2016
Retrospective analysis of changing characteristics of treatment-seeking smokers: implications for further reducing smoking prevalence
Teresa M Leyro, Erin E Crew, Susan W Bryson, et al.
European Heart Journal. Quality of Care & Clinical Outcomes
|
September 30, 2025
Heart transplant outcomes in patients with substance use disorder history: a nationwide cohort study using high-dimensional propensity score matching
Kellie Elkrief, Paola Lavin, Kyle T Greenway, et al.
Journal of General Internal Medicine
|
November 14, 2019
Patterns of Opioid and Benzodiazepine Use in Opioid-Naïve Patients with Newly Diagnosed Low Back and Lower Extremity Pain
Tej D Azad, Yi Zhang, Martin N Stienen, et al.
Journal of the American Medical Informatics Association : JAMIA
|
September 22, 2025
Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features
Fateme Nateghi Haredasht, Ivan Lopez, Steven Tate, et al.
Addiction (Abingdon, England)
|
June 26, 2024
Predictability of buprenorphine-naloxone treatment retention: A multi-site analysis combining electronic health records and machine learning
Fateme Nateghi Haredasht, Sajjad Fouladvand, Steven Tate, et al.
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Showing results (41-50 of 50) with videos related to
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This site can display upto 50 results.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|
January 15, 2024
Predicting premature discontinuation of medication for opioid use disorder from electronic medical records
Ivan Lopez, Sajjad Fouladvand, Scott Kollins, et al.
Alcohol and Alcoholism (Oxford, Oxfordshire)
|
March 5, 2026
A missed opportunity: a retrospective cohort study of alcohol use disorder pharmacotherapy in hospitalized patients
Michka Nazon, Paola Lavin, C William Pike, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 15, 2024
Which social media platforms facilitate monitoring the opioid crisis?
Kristy A Carpenter, Anna T Nguyen, Delaney A Smith, et al.
Journal of Psychiatric Research
|
January 11, 2014
Plasma oxytocin concentrations are lower in depressed vs. healthy control women and are independent of cortisol
Kaeli W Yuen, Joseph P Garner, Dean S Carson, et al.
BMJ Open
|
March 20, 2026
The Montreal model of ketamine-therapy for alcohol use disorder and comorbid treatment-resistant depression: protocol for a feasibility trial
Christina McAnulty, Philippe Lavoie, Samuel Cyr, et al.
BMJ Open
|
July 1, 2016
Retrospective analysis of changing characteristics of treatment-seeking smokers: implications for further reducing smoking prevalence
Teresa M Leyro, Erin E Crew, Susan W Bryson, et al.
European Heart Journal. Quality of Care & Clinical Outcomes
|
September 30, 2025
Heart transplant outcomes in patients with substance use disorder history: a nationwide cohort study using high-dimensional propensity score matching
Kellie Elkrief, Paola Lavin, Kyle T Greenway, et al.
Journal of General Internal Medicine
|
November 14, 2019
Patterns of Opioid and Benzodiazepine Use in Opioid-Naïve Patients with Newly Diagnosed Low Back and Lower Extremity Pain
Tej D Azad, Yi Zhang, Martin N Stienen, et al.
Journal of the American Medical Informatics Association : JAMIA
|
September 22, 2025
Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features
Fateme Nateghi Haredasht, Ivan Lopez, Steven Tate, et al.
Addiction (Abingdon, England)
|
June 26, 2024
Predictability of buprenorphine-naloxone treatment retention: A multi-site analysis combining electronic health records and machine learning
Fateme Nateghi Haredasht, Sajjad Fouladvand, Steven Tate, et al.
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