Modern views of machine learning for precision psychiatry

In light of the National Institute of Mental Health (NIMH)’s Research Domain Criteria (RDoC), the advent of functional neuroimaging, novel technologies and methods provide new opportunities to develop precise and personalized prognosis and diagnosis of mental disorders. Machine learning (ML) and art...

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Veröffentlicht in:	Patterns (New York, N.Y.) N.Y.), 2022-11, Vol.3 (11), p.100602, Article 100602
Hauptverfasser:	Chen, Zhe Sage, Kulkarni, Prathamesh (Param), Galatzer-Levy, Isaac R., Bigio, Benedetta, Nasca, Carla, Zhang, Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	artificial intelligence causality computational psychiatry deep learning digital phenotyping digital psychiatry explainable AI machine learning molecular biomarker multi-modal data fusion neurobiomarker neuroimaging neuromodulation precision psychiatry Review teletherapy XAI
Online-Zugang:	Volltext
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