Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry

Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry

Abstract Background The development of machine learning models for aiding in the diagnosis of mental disorder is recognized as a significant breakthrough in the field of psychiatry. However, clinical practice of such models remains a challenge, with poor generalizability being a major limitation. Me...

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Bibliographic Details
Main Authors: Zhiyi Chen, Bowen Hu, Xuerong Liu, Benjamin Becker, Simon B. Eickhoff, Kuan Miao, Xingmei Gu, Yancheng Tang, Xin Dai, Chao Li, Artemiy Leonov, Zhibing Xiao, Zhengzhi Feng, Ji Chen, Hu Chuan-Peng
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Medicine
Subjects:
Psychiatric machine learning
Diagnostic classification
Meta-analysis
Neuroimaging
Sampling inequalities
Online Access:https://doi.org/10.1186/s12916-023-02941-4

Internet

https://doi.org/10.1186/s12916-023-02941-4

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