Machine learning-optimized non-invasive brain stimulation and treatment response classification for major depression

被引：1
|
作者：
Albizu, Alejandro [1 ,2 ]
Indahlastari, Aprinda [1 ,5 ]
Suen, Paulo [6 ]
Huang, Ziqian [4 ]
Waner, Jori L. [1 ,5 ]
Stolte, Skylar E. [3 ]
Fang, Ruogu [1 ,3 ,4 ]
Brunoni, Andre R. [6 ]
Woods, Adam J. [1 ,2 ,5 ]
机构：
[1] Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, United States
[2] Department of Neuroscience, College of Medicine, University of Florida, Gainesville, United States
[3] J. Crayton Pruitt Family Department of Biomedical Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, United States
[4] Department of Electrical and Computer Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, United States
[5] Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, PO Box 100165, 1225 Center Drive, Gainesville,FL,32610-0165, United States
[6] Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
来源：
Bioelectronic Medicine | 2024年 / 10卷 / 01期
关键词：
Compendex;
D O I：
10.1186/s42234-024-00157-2
中图分类号：
学科分类号：
摘要：
Functional neuroimaging - Machine learning
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