Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients

The diagnosis based on clinical assessment of pediatric bipolar disorder (PBD) may sometimes lead to misdiagnosis in clinical practice. For the past several years, machine learning (ML) methods were introduced for the classification of bipolar disorder (BD), which were helpful in the diagnosis of BD...

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Detalles Bibliográficos
Autores principales: Dou, Ruhai, Gao, Weijia, Meng, Qingmin, Zhang, Xiaotong, Cao, Weifang, Kuang, Liangfeng, Niu, Jinpeng, Guo, Yongxin, Cui, Dong, Jiao, Qing, Qiu, Jianfeng, Su, Linyan, Lu, Guangming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Computational Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445985/
https://www.ncbi.nlm.nih.gov/pubmed/36082304
http://dx.doi.org/10.3389/fncom.2022.915477

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445985/
https://www.ncbi.nlm.nih.gov/pubmed/36082304
http://dx.doi.org/10.3389/fncom.2022.915477

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