Neuroimaging and Machine Learning Algorithms to Identify Biological Subtypes of Schizophrenia

被引：0
|
作者：
Shahab, Saba d [1 ,2 ]
Viviano, Joseph D. [2 ]
Pipitone, Jon [2 ]
Canas, Francisco [2 ]
Foussias, George [1 ,2 ,3 ]
Voineskos, Aristotle N. [1 ,2 ,3 ]
机构：
[1] Univ Toronto, Inst Med Sci, Toronto, ON, Canada
[2] Ctr Addict & Mental Hlth, Res Imaging Ctr, Toronto, ON, Canada
[3] Univ Toronto, Dept Psychiat, Fac Med, Toronto, ON, Canada
来源：
BIOLOGICAL PSYCHIATRY | 2016年 / 79卷 / 09期
基金：
加拿大创新基金会;
关键词：
schizophrenia; diffusion tensor imaging (DTI); machine learning; multivariate classification; neuroimaging;
D O I：
暂无
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
1123
引用
收藏
页码：389S / 389S
页数：1
相关论文
共 50 条
  • [1] Machine Learning and Neuroimaging
    Oktar, Nezih
    Oktar, Yigit
    JOURNAL OF NEUROLOGICAL SCIENCES-TURKISH, 2015, 32 (01): : 1 - +
  • [2] Unsupervised Machine Learning to Identify Depressive Subtypes
    Kung, Benson
    Chiang, Maurice
    Perera, Gayan
    Pritchard, Megan
    Stewart, Robert
    HEALTHCARE INFORMATICS RESEARCH, 2022, 28 (03) : 256 - 266
  • [3] Prediction of physical violence in schizophrenia with machine learning algorithms
    Wang, Kevin Z.
    Bani-Fatemi, Ali
    Adanty, Christopher
    Harripaul, Ricardo
    Griffiths, John
    Kolla, Nathan
    Gerretsen, Philip
    Graff, Ariel
    De Luca, Vincenzo
    PSYCHIATRY RESEARCH, 2020, 289
  • [4] Effects of randomness in the development of machine learning models in neuroimaging studies of schizophrenia
    Sun, Huaiqiang
    Lui, Su
    Huang, Xiaoqi
    Sweeney, John
    Gong, Qiyong
    SCHIZOPHRENIA RESEARCH, 2023, 252 : 253 - 261
  • [5] Transcriptomic and neuroimaging data integration enhances machine learning classification of schizophrenia
    Wang, Mengya
    Zhao, Shu-Wan
    Wu, Di
    Zhang, Ya-Hong
    Han, Yan-Kun
    Zhao, Kun
    Qi, Ting
    Liu, Yong
    Cui, Long-Biao
    Wei, Yongbin
    PSYCHORADIOLOGY, 2024, 4
  • [6] To Identify Malware Using Machine Learning Algorithms
    Pujari, Shivam
    Mandoria, H. L.
    Shrivastava, R. P.
    Singh, Rajesh
    COMPUTING SCIENCE, COMMUNICATION AND SECURITY, 2022, 1604 : 117 - 127
  • [7] Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia
    Gayathri Sunil
    Smruthi Gowtham
    Anurita Bose
    Samhitha Harish
    Gowri Srinivasa
    BMC Neuroscience, 25
  • [8] Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
    Jimenez-Mesa, Carmen
    Ramirez, Javier
    Yi, Zhenghui
    Yan, Chao
    Chan, Raymond
    Murray, Graham K.
    Gorriz, Juan Manuel
    Suckling, John
    HUMAN BRAIN MAPPING, 2024, 45 (05)
  • [9] Graph neural network and machine learning analysis of functional neuroimaging for understanding schizophrenia
    Sunil, Gayathri
    Gowtham, Smruthi
    Bose, Anurita
    Harish, Samhitha
    Srinivasa, Gowri
    BMC NEUROSCIENCE, 2024, 25 (01)
  • [10] Editorial: Machine Learning in Neuroimaging
    Federau, Christian
    FRONTIERS IN NEUROLOGY, 2021, 12
12345