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The promise of machine learning in predicting treatment outcomes in psychiatry
For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …
medications or psychotherapies, in order to personalize their treatment choices. There is …
Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward
Personalization of psychological therapies has always been used by clinicians and
describes all efforts to select, adjust, or modify a treatment for the individual to improve …
describes all efforts to select, adjust, or modify a treatment for the individual to improve …
Stage models for major depression: Cognitive behavior therapy, mechanistic treatment targets, and the prevention of stage transition
Stage models encourage a longitudinal perspective on the care of those with major
depression: supporting vigilance to the risk for stage progression and the selection of …
depression: supporting vigilance to the risk for stage progression and the selection of …
Socioeconomic indicators of treatment prognosis for adults with depression: a systematic review and individual patient data meta-analysis
Importance Socioeconomic factors are associated with the prevalence of depression, but
their associations with prognosis are unknown. Understanding this association would aid in …
their associations with prognosis are unknown. Understanding this association would aid in …
(When and how) does basic research in clinical psychology lead to more effective psychological treatment for mental disorders?
T Ehring, K Limburg, AE Kunze, CE Wittekind… - Clinical psychology …, 2022 - Elsevier
An important aim of basic research in Clinical Psychology is to improve clinical practice (eg,
by develo** novel interventions or improving the efficacy of existing ones) based on an …
by develo** novel interventions or improving the efficacy of existing ones) based on an …
Psychological therapies for depression and cardiovascular risk: evidence from national healthcare records in England
Aims People with depression are up to 72% more at risk to develop cardiovascular disease
(CVD) in their lifetime. Evidence-based psychotherapies are first-line interventions for the …
(CVD) in their lifetime. Evidence-based psychotherapies are first-line interventions for the …
Conversational assessment using artificial intelligence is as clinically useful as depression scales and preferred by users
Background Depression is prevalent, chronic, and burdensome. Due to limited screening
access, depression often remains undiagnosed. Artificial intelligence (AI) models based on …
access, depression often remains undiagnosed. Artificial intelligence (AI) models based on …
The importance of transdiagnostic symptom level assessment to understanding prognosis for depressed adults: analysis of data from six randomised control trials
Background Depression is commonly perceived as a single underlying disease with a
number of potential treatment options. However, patients with major depression differ …
number of potential treatment options. However, patients with major depression differ …
Towards optimal treatment selection for borderline personality disorder patients (BOOTS): a study protocol for a multicenter randomized clinical trial comparing …
CJM Wibbelink, A Arntz, RPPP Grasman, R Sinnaeve… - BMC psychiatry, 2022 - Springer
Background Specialized evidence-based treatments have been developed and evaluated
for borderline personality disorder (BPD), including Dialectical Behavior Therapy (DBT) and …
for borderline personality disorder (BPD), including Dialectical Behavior Therapy (DBT) and …
Machine learning v. traditional regression models predicting treatment outcomes for binge-eating disorder from a randomized controlled trial
BackgroundWhile effective treatments exist for binge-eating disorder (BED), prediction of
treatment outcomes has proven difficult, and few reliable predictors have been identified …
treatment outcomes has proven difficult, and few reliable predictors have been identified …