https://onlinelibrary.wiley.com/doi/pdf/10.1002/wps.20882

The promise of machine learning in predicting treatment outcomes in psychiatry

The personalized approach to psychopathology conceptualizes mental disorder as a complex system of contextualized dynamic processes that is nontrivially specific to each individual, and it seeks to develop formal idiographic statistical models to represent these individual processes. Although the personalized approach draws on long-standing influences in clinical psychology, there has been an explosion of research in recent years following the development of intensive longitudinal data capture and statistical techniques that facilitate modeling of the dynamic processes of each individual's pathology. Advances are also making idiographic analyses scalable and generalizable. We review emerging research using the personalized approach in descriptive psychopathology, precision assessment, and treatment selection and tailoring, and we identify future challenges and areas in need of additional research. The personalized approach to psychopathology holds promise to resolve thorny diagnostic issues, generate novel insights, and improve the timing and efficacy of interventions.

Personalized Models of Psychopathology.

Beyond linear mediation: Toward a dynamic network approach to study treatment processes

https://pure.rug.nl/ws/files/135097493/Time_to_get_personal_The_impact_of_researchers_choices_on_the_selection_of_treatment_targets_using_the_experience_sampling_methodology_Elsevier_Enhanced_Reader.pdf

Time to get personal? The impact of researchers choices on the selection of treatment targets using the experience sampling methodology

This conceptual paper describes the current state of mental health services, identifies critical problems, and suggests how to solve them. I focus on the potential contributions of artificial intelligence and precision mental health to improving mental health services. Toward that end, I draw upon my own research, which has changed over the last half century, to highlight the need to transform the way we conduct mental health services research. I identify exemplars from the emerging literature on artificial intelligence and precision approaches to treatment in which there is an attempt to personalize or fit the treatment to the client in order to produce more effective interventions.

/pdf/improving-mental-health-services-a-50-year-journey-from-3a0a8uijpe.pdf

Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.

Open trial of a personalized modular treatment for mood and anxiety.

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Open trial of a personalized modular treatment for mood and anxiety.