Assisting schizophrenia diagnosis using clinical electroencephalography and interpretable graph neural networks: a real-world and cross-site study-Reference-Cited by-同舟云学术

Assisting schizophrenia diagnosis using clinical electroencephalography and interpretable graph neural networks: a real-world and cross-site study

Published:2023-07-25 Issue:13 Volume:48 Page:1920-1930
ISSN:0893-133X
Container-title:Neuropsychopharmacology
language:en
Short-container-title:Neuropsychopharmacol.

Author:

Jiang Haiteng,Chen Peiyin,Sun Zhaohong,Liang Chengqian,Xue Rui,Zhao Liansheng^ORCID,Wang Qiang,Li Xiaojing,Deng Wei^ORCID,Gao Zhongke,Huang Fei,Huang Songfang,Zhang Yaoyun,Li Tao^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Psychiatry and Mental health,Pharmacology

Link

https://www.nature.com/articles/s41386-023-01658-5.pdf

Reference56 articles.

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3. Chong HY, Teoh SL, Wu DB, Kotirum S, Chiou CF, Chaiyakunapruk N. Global economic burden of schizophrenia: a systematic review. Neuropsychiatr Dis Treat. 2016;12:357–73.

4. Qureshi O, Endale T, Ryan G, Miguel-Esponda G, Iyer SN, Eaton J, et al. Barriers and drivers to service delivery in global mental health projects. Int J Mental Health Syst. 2021;15:1–13.

5. Ke P, Xiong D, Li J, Pan Z, Zhou J, Li S, et al. An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological data. Sci Rep. 2021;11:1–11

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