Advancing transdiagnostic data analytics using knowledge graphs
Artificial intelligence approaches have tremendous potential to advance our understanding of biological and other processes contributing to mental illness risk. An important question is how such approaches can be tailored to support transdiagnostic investigations that are considered central for gain...
Saved in:
Main Authors: | Fiona Klaassen, Emanuel Schwarz |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-06-01
|
Series: | Biomarkers in Neuropsychiatry |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666144625000048 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The roles of impulsivity, comorbid ADHD, and borderline personality disorder in patients with bulimia nervosa
by: Susanne Gilsbach, et al.
Published: (2025-01-01) -
The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach
by: Jianqing Qiu, et al.
Published: (2025-01-01) -
Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications
by: Xuehong Wu, et al.
Published: (2023-06-01) -
Anterior pituitary gland volume mediates associations between adrenarche and changes in transdiagnostic symptoms in youth
by: Giorgia Picci, et al.
Published: (2025-01-01) -
A transdiagnostic approach to investigate of the relationships between anxiety sensitivity and health anxiety: the mediated roles of distress tolerance and emotion regulation
by: Hamid Mohsenabadi, et al.
Published: (2025-02-01)