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
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
  • [21] Identification of Novel Hypoxia Subtypes for Prognosis Based on Machine Learning Algorithms
    Wang, Jiawei
    Li, Tuo
    Wei, Songquan
    Zhao, Gengye
    Ye, Cong
    Ma, Qiuping
    Ma, Jinchun
    Cheng, Xiaoyan
    JOURNAL OF ONCOLOGY, 2022, 2022
  • [22] Comparison of Machine Learning Algorithms in the Prediction of Hospitalized Patients with Schizophrenia
    Gongora Alonso, Susel
    Marques, Goncalo
    Agarwal, Deevyankar
    De la Torre Diez, Isabel
    Franco-Martin, Manuel
    SENSORS, 2022, 22 (07)
  • [23] Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study
    Lin, Ziwei
    Feng, Wenhuan
    Liu, Yanjun
    Ma, Chiye
    Arefan, Dooman
    Zhou, Donglei
    Cheng, Xiaoyun
    Yu, Jiahui
    Gao, Long
    Du, Lei
    You, Hui
    Zhu, Jiangfan
    Zhu, Dalong
    Wu, Shandong
    Qu, Shen
    FRONTIERS IN ENDOCRINOLOGY, 2021, 12
  • [24] Decoding the matrix: Benefits and limitations of applying machine learning algorithms to pain neuroimaging
    Rosa, Maria Joao
    Seymour, Ben
    PAIN, 2014, 155 (05) : 864 - 867
  • [25] Patterns of risk-Using machine learning and structural neuroimaging to identify pedophilic offenders
    Popovic, David
    Wertz, Maximilian
    Geisler, Carolin
    Kaufmann, Joern
    Laehteenvuo, Markku
    Lieslehto, Johannes
    Witzel, Joachim
    Bogerts, Bernhard
    Walter, Martin
    Falkai, Peter
    Koutsouleris, Nikolaos
    Schiltz, Kolja
    FRONTIERS IN PSYCHIATRY, 2023, 14
  • [26] Hybrid Approach for Supervised Machine Learning Algorithms to Identify Damage in Bridges
    Bud, Mihai Adrian
    Nedelcu, Mihai
    Moldovan, Ionut
    Figueiredo, Eloi
    JOURNAL OF BRIDGE ENGINEERING, 2024, 29 (08)
  • [27] Using machine learning algorithms to identify genes essential for cell survival
    Philips, Santosh
    Wu, Heng-Yi
    Li, Lang
    BMC BIOINFORMATICS, 2017, 18
  • [28] Application of machine learning algorithms to identify people with low bone density
    Xu, Rongxuan
    Chen, Yongxing
    Yao, Zhihan
    Wu, Wei
    Cui, Jiaxue
    Wang, Ruiqi
    Diao, Yizhuo
    Jin, Chenxin
    Hong, Zhijun
    Li, Xiaofeng
    FRONTIERS IN PUBLIC HEALTH, 2024, 12
  • [29] Using machine learning algorithms to identify genes essential for cell survival
    Santosh Philips
    Heng-Yi Wu
    Lang Li
    BMC Bioinformatics, 18
  • [30] Two Neuroanatomical Subtypes of Schizophrenia Defined by Multi-Site Machine Learning
    Wolf, Daniel
    Chand, Ganesh
    Dwyer, Dominic
    Erus, Guray
    Sotiras, Aristeidis
    Varol, Erdem
    Srinivasan, Dhivya
    Doshi, Jimit
    Pomponio, Raymond
    Pigoni, Alessandro
    Dazzan, Paola
    Kahn, Rene S.
    Schnack, Hugo G.
    Zanetti, Marcus V.
    Meisenzahl, Eva
    Busatto, Geraldo F.
    Crespo-Facorro, Benedicto
    Pantelis, Christos
    Wood, Stephen
    Zhuo, Chuanjun
    Shinohara, Russell T.
    Shou, Haochang
    Fan, Yong
    Gur, Ruben C.
    Gur, Raquel E.
    Satterthwaite, Theodore D.
    Koutsouleris, Nikolaos
    Davatzikos, Christos
    BIOLOGICAL PSYCHIATRY, 2020, 87 (09) : S28 - S29