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
  • [41] 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
  • [42] Using machine learning algorithms to identify genes essential for cell survival
    Santosh Philips
    Heng-Yi Wu
    Lang Li
    BMC Bioinformatics, 18
  • [43] 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
  • [44] Identify Discriminatory Factors of Traffic Accidental Fatal Subtypes using Machine Learning Techniques
    Loskor, W. Z.
    Ahamed, Sharif
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (02) : 244 - 250
  • [45] EEG Source Network for the Diagnosis of Schizophrenia and the Identification of Subtypes Based on Symptom Severity-A Machine Learning Approach
    Kim, Jeong-Youn
    Lee, Hyun Seo
    Lee, Seung-Hwan
    JOURNAL OF CLINICAL MEDICINE, 2020, 9 (12) : 1 - 13
  • [46] The role of machine learning in neuroimaging for drug discovery and development
    Doyle, Orla M.
    Mehta, Mitul A.
    Brammer, Michael J.
    PSYCHOPHARMACOLOGY, 2015, 232 (21-22) : 4179 - 4189
  • [47] Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
    Al-Jaishi, Ahmed A.
    Taljaard, Monica
    Al-Jaishi, Melissa D.
    Abdullah, Sheikh S.
    Thabane, Lehana
    Devereaux, P. J.
    Dixon, Stephanie N.
    Garg, Amit X.
    SYSTEMATIC REVIEWS, 2022, 11 (01)
  • [48] Quantifying performance of machine learning methods for neuroimaging data
    Jollans, Lee
    Boyle, Rory
    Artiges, Eric
    Banaschewski, Tobias
    Desrivieres, Sylvane
    Grigis, Antoine
    Martinot, Jean-Luc
    Paus, Tomas
    Smolka, Michael N.
    Walter, Henrik
    Schumann, Gunter
    Garavan, Hugh
    Whelan, Robert
    NEUROIMAGE, 2019, 199 : 351 - 365
  • [49] MACHINE LEARNING ALGORITHMS TO IDENTIFY PEACH VARIETIES BASED ON CHROMATIC AND MORPHOLOGICAL DESCRIPTORS
    Ayala-Nino, Daniel
    Gonzalez-Camacho, Juanmanuel
    REVISTA FITOTECNIA MEXICANA, 2024, 47 (01) : 62 - 69
  • [50] Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE
    Ahmed A. Al-Jaishi
    Monica Taljaard
    Melissa D. Al-Jaishi
    Sheikh S. Abdullah
    Lehana Thabane
    P. J. Devereaux
    Stephanie N. Dixon
    Amit X. Garg
    Systematic Reviews, 11
12345