Functional Connectivity for Disease Classification in Epilepsy: A Machine Learning Approach

被引:0
|
作者
Gholipour, Taha [1 ]
You, Xiaozhen [2 ]
Stufflebeam, Steven [3 ]
Gaillard, William [2 ]
机构
[1] George Washington Univ, Neurol, Washington, DC 20052 USA
[2] Childrens Natl Hlth Syst, Washington, DC USA
[3] Massachusetts Gen Hosp, Radiol, Boston, MA 02114 USA
关键词
D O I
暂无
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
2848
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Parkinson Disease gait classification based on machine learning approach
    [J]. Tahir, N. M., 1600, Asian Network for Scientific Information (12):
  • [22] Data Driven Approach for Eye Disease Classification with Machine Learning
    Malik, Sadaf
    Kanwal, Nadia
    Asghar, Mamoona Naveed
    Sadiq, Mohammad Ali A.
    Karamat, Irfan
    Fleury, Martin
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (14):
  • [23] Classification of multiple sclerosis women with voiding dysfunction using machine learning: Is functional connectivity or structural connectivity a better predictor?
    Tran, Khue
    Salazar, Betsy H.
    Boone, Timothy B.
    Khavari, Rose
    Karmonik, Christof
    [J]. BJUI COMPASS, 2023, 4 (03): : 277 - 284
  • [24] Gait Classification of Parkinson's Disease with Supervised Machine Learning Approach
    Goh, Choon-Hian
    Koh, Chee Hong
    Chong, Yu Zheng
    Lim, Wei Yin
    [J]. 2022 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES, IECBES, 2022, : 112 - 116
  • [25] Machine learning approach for classification of Parkinson disease using acoustic features
    Mittal V.
    Sharma R.K.
    [J]. Journal of Reliable Intelligent Environments, 2021, 7 (03) : 233 - 239
  • [26] Classification of Parkinson’s disease motor phenotype: a machine learning approach
    Lívia Shirahige
    Brenda Leimig
    Adriana Baltar
    Amanda Bezerra
    Caio Vinícius Ferreira de Brito
    Yasmin Samara Oliveira do Nascimento
    Juliana Carneiro Gomes
    Wei-Peng Teo
    Wellignton Pinheiro dos Santos
    Marcelo Cairrão
    André Fonseca
    Kátia Monte-Silva
    [J]. Journal of Neural Transmission, 2022, 129 : 1447 - 1461
  • [27] Classification of Parkinson's disease motor phenotype: a machine learning approach
    Shirahige, Livia
    Leimig, Brenda
    Baltar, Adriana
    Bezerra, Amanda
    Ferreira de Brito, Caio Vinicius
    Oliveira do Nascimento, Yasmin Samara
    Gomes, Juliana Carneiro
    Teo, Wei-Peng
    dos Santos, Wellignton Pinheiro
    Cairrao, Marcelo
    Fonseca, Andre
    Monte-Silva, Katia
    [J]. JOURNAL OF NEURAL TRANSMISSION, 2022, 129 (12) : 1447 - 1461
  • [28] Classification of Raw Electroencephalogram Signals for Diagnosis of Epilepsy Using Functional Connectivity
    Ribeiro, T. T.
    Fiel, J. S.
    Melo, E. M.
    Navegantes, R. E. S.
    Gomes, F.
    Pereira Junior, A.
    [J]. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, 2022, : 1985 - 1991
  • [29] A Hybrid Deep Learning and Optimized Machine Learning Approach for Rose Leaf Disease Classification
    Nuanmeesri, Sumitra
    [J]. ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH, 2021, 11 (05) : 7678 - 7683
  • [30] A Machine Learning Approach to Classification of Okra
    Diop, Papa Moussa
    Takamoto, Jin
    Nakamura, Yuji
    Nakamura, Morikazu
    [J]. 35TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2020), 2020, : 254 - 257