AIMC Topic: Selective Serotonin Reuptake Inhibitors

Clear Filters Showing 11 to 12 of 12 articles

Combining Machine Learning and Comparative Effectiveness Methodology to Study Primary Care Pharmacotherapy Pathways for Veterans With Depression.

Medical care Jun 1, 2025
OBJECTIVES: To demonstrate an innovative method combining machine learning with comparative effectiveness research techniques and to investigate a hitherto unstudied question about the effectiveness of common prescribing patterns.
Humans Machine Learning Female Adult Male Middle Aged Depressive Disorder, Major Primary Health Care United States Practice Patterns, Physicians' United States Department of Veterans Affairs Veterans Antidepressive Agents Comparative Effectiveness Research Selective Serotonin Reuptake Inhibitors
View on PubMed DOI

Emulation of a Target Trial to Estimate the Effect of Selective Serotonin Reuptake Inhibitors on the Development of Antimicrobial-Resistant Infections using Electronic Health Record Data and Causal Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Antimicrobial resistance is a significant public health concern. The use of selective serotonin reuptake inhibitors (SSRIs), medications commonly prescribed to treat depression, anxiety, and other psychiatric disorders, is increasing. Previous in vit...
Humans Machine Learning Drug Resistance, Bacterial Electronic Health Records Female Male Bacterial Infections Selective Serotonin Reuptake Inhibitors
View on PubMed
Popular Topics
Recent Journals