Supervised machine learning: a brief primer
Abstract Machine learning is increasingly used in mental health research and has the
potential to advance our understanding of how to characterize, predict, and treat mental …
potential to advance our understanding of how to characterize, predict, and treat mental …
Personalized treatment approaches.
In the modern history of psychotherapy, understanding the individual patient and how to
optimize treatment for each individual has been an important challenge. For the therapist …
optimize treatment for each individual has been an important challenge. For the therapist …
[HTML][HTML] 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 …
Cross-trial prediction in psychotherapy: External validation of the Personalized Advantage Index using machine learning in two Dutch randomized trials comparing …
SC Van Bronswijk, SJE Bruijniks… - Psychotherapy …, 2021 - Taylor & Francis
Objective: Optimizing treatment selection may improve treatment outcomes in depression. A
promising approach is the Personalized Advantage Index (PAI), which predicts the optimal …
promising approach is the Personalized Advantage Index (PAI), which predicts the optimal …
Personalized medicine and cognitive behavioral therapies for depression: Small effects, big problems, and bigger data
Cognitive-behavioral therapies (CBTs) are the most widely studied form of psychotherapy for
disorders like depression and anxiety. Nonetheless, there is heterogeneity in response to …
disorders like depression and anxiety. Nonetheless, there is heterogeneity in response to …
Predicting treatment outcome in depression: an introduction into current concepts and challenges
N Rost, EB Binder, TM Brückl - European Archives of Psychiatry and …, 2023 - Springer
Improving response and remission rates in major depressive disorder (MDD) remains an
important challenge. Matching patients to the treatment they will most likely respond to …
important challenge. Matching patients to the treatment they will most likely respond to …
Individual-specific animated profiles of mental health
S Zilcha-Mano - Perspectives on Psychological Science, 2024 - journals.sagepub.com
How important is the timing of the pretreatment evaluation? If we consider mental health to
be a relatively fixed condition, the specific timing (eg, day, hour) of the evaluation is …
be a relatively fixed condition, the specific timing (eg, day, hour) of the evaluation is …
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.
Many real-world systems can exhibit tip** points and multiple stable states, creating the
potential for sudden and difficult to reverse transitions into a less desirable regime. The …
potential for sudden and difficult to reverse transitions into a less desirable regime. The …
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 …
Psychometric properties of the Defense Mechanisms Rating Scales-Self-Report-30 (DMRS-SR-30): Internal consistency, validity and factor structure
Assessment of defense mechanisms has a longstanding history within the clinical
psychology and psychopathology literature. Despite their centrality to clinical practice, there …
psychology and psychopathology literature. Despite their centrality to clinical practice, there …