Search
Now showing items 1-5 of 5
Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression
(2022-05)
The debate of whether machine learning models offer advantages over standard statistical methods when making predictions is ongoing. We discuss the use of a meta-learner model combining both approaches as an alternative. ...
Efficacy and acceptability of next step treatment strategies in adults with treatment-resistant major depressive disorder: protocol for systematic review and network meta-analysis
(2022-04)
For major depression, a one-size-fits-all treatment does not exist. Patients enter a ‘trial-and-change’ algorithm in which effective therapies are subsequently applied. Unfortunately, an empirically based order of treatments ...
Sleep deprivation as a treatment for major depressive episodes: A systematic review and meta-analysis
(2022-05)
Sleep deprivation, alone or in combination with pharmacological treatment and as part of a chronotherapy package, is of potential use for people with major depressive episodes, however the evidence base is still conflicting. ...
Important adverse events to be evaluated in antidepressant trials and meta-analyses in depression: a large international preference study including patients and healthcare professionals
(2022-07)
Background: Non-serious adverse events (NSAEs) should be captured and reported because they can have a significant negative impact on patients and treatment adherence. However, the reporting of NSAEs in randomised controlled ...
Examining the Effectiveness of Web-Based Interventions to Enhance Resilience in Health Care Professionals: Systematic Review
(2022-07)
Background: Internationally, the impact of continued exposure to workplace environmental and psychological stressors on
health care professionals’mental health is associated with increased depression, substance misuse, ...