Titlebook: Digital Mental Health; A Practitioner‘s Gui Ives Cavalcante Passos,Francisco Diego Rabelo-da-P Book 2023 The Editor(s) (if applicable) and

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Electronic Health Records to Detect Psychosis Risk,te prognostic accuracy in different settings in the UK and US. It is the only prognostic model in psychiatry to be implemented in real-world clinical practice, showing good evidence of feasibility. Dynamic prognostic models may be better able to model the time course of psychosis risk compared to static models.

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Isthmus

The Use of Machine Learning Techniques to Solve Problems in Forensic Psychiatry,ne learning techniques and experimental designs that can be leveraged to address long-standing problems within the field. As such, it aims to provide a series of methodological recommendations for moving the field from advancements in risk prediction towards precision forensics.

Delude

https://doi.org/10.1007/978-3-030-29256-0s a tool to assist diagnosis, monitor treatment, and offer personalized interventions, also debating possibilities on how it could be further developed. Finally, limitations and barriers to the process of this new technology are discussed, alongside ethical implications.

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AGGER

Digital Phenotyping in Mood Disorders,s a tool to assist diagnosis, monitor treatment, and offer personalized interventions, also debating possibilities on how it could be further developed. Finally, limitations and barriers to the process of this new technology are discussed, alongside ethical implications.

CESS

Prediction of Suicide Risk Using Machine Learning and Big Data, using machine learning models to evaluate individualized suicide risk. Furthermore, key considerations, challenges, and the potential ethical implications of the clinical implementation of these algorithms are discussed.