Outcome measurement in the field of psychotherapy has developed considerably in the last decade. This review discusses key issues related to outcome measurement, modeling, and …
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 …
M Barkham, MJ Lambert - Bergin and Garfield's handbook of …, 2021 - books.google.com
This chapter sets out the current status of the evidence-base for the efficacy and effectiveness of psychological therapies. First, methods for eliciting and synthesizing …
R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …
Highlights•The combination of data-driven machine learning and theory-driven computational models holds great promise for psychiatry.•Machine-learning analyses of …
A Luedtke, E Sadikova… - Clinical Psychological …, 2019 - journals.sagepub.com
Clinical trials have documented numerous clinical features, social characteristics, and biomarkers that are “prescriptive” predictors of depression treatment response, that is …
Objective: This study aims at developing a treatment selection algorithm using a combination of machine learning and statistical inference to recommend patients' optimal …
To study mental illness and health, in the past researchers have often broken down their complexity into individual subsystems (eg, genomics, transcriptomics, proteomics, clinical …
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 …