PAINWAVES: THE POTENTIAL OF MACHINE LEARNING TO DIFFERENTIATE CHRONIC PAIN COHORTS USING ELECTROENCEPHALOGRAPHY

被引:0
|
作者
Tsigarides, J. [1 ]
Rushbrooke, A. [2 ]
Bagnall, A. [2 ]
机构
[1] Univ East Anglia, Norwich Med Sch, Norwich, Norfolk, England
[2] Univ East Anglia, Comp Sci, Norwich, Norfolk, England
关键词
D O I
10.1136/annrheumdis-2023-eular.3902
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
POS0257
引用
收藏
页码:366 / 366
页数:1
相关论文
共 50 条
  • [1] Pain phenotypes classified by machine learning using electroencephalography features
    Levitt, Joshua
    Edhi, Muhammad M.
    Thorpe, Ryan, V
    Leung, Jason W.
    Michishita, Mai
    Koyama, Suguru
    Yoshikawa, Satoru
    Scarfo, Keith A.
    Carayannopoulos, Alexios G.
    Gu, Wendy
    Srivastava, Kyle H.
    Clark, Bryan A.
    Esteller, Rosana
    Borton, David A.
    Jones, Stephanie R.
    Saab, Carl Y.
    NEUROIMAGE, 2020, 223
  • [2] Classification Electroencephalography Using Machine Learning
    Tien Hoang-Thuy Vo
    Tran Luu-Nha Dang
    Ngan Vuong-Thuy Nguyen
    Tuan Van Huynh
    ISCIT 2019: PROCEEDINGS OF 2019 19TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT), 2019, : 14 - 19
  • [3] Benchmarks for machine learning in depression discrimination using electroencephalography signals
    Seal, Ayan
    Bajpai, Rishabh
    Karnati, Mohan
    Agnihotri, Jagriti
    Yazidi, Anis
    Herrera-Viedma, Enrique
    Krejcar, Ondrej
    APPLIED INTELLIGENCE, 2023, 53 (10) : 12666 - 12683
  • [4] Benchmarks for machine learning in depression discrimination using electroencephalography signals
    Ayan Seal
    Rishabh Bajpai
    Mohan Karnati
    Jagriti Agnihotri
    Anis Yazidi
    Enrique Herrera-Viedma
    Ondrej Krejcar
    Applied Intelligence, 2023, 53 : 12666 - 12683
  • [5] Challenges in Electroencephalography Data Processing Using Machine Learning Approaches
    Alvi, Ashik Mostafa
    Siuly, Siuly
    Wang, Hua
    DATABASES THEORY AND APPLICATIONS (ADC 2022), 2022, 13459 : 177 - 184
  • [6] Chronic Pain Diagnosis Using Machine Learning, Questionnaires, and QST: A Sensitivity Experiment
    Santana, Alex Novaes
    de Santana, Charles Novaes
    Montoya, Pedro
    DIAGNOSTICS, 2020, 10 (11)
  • [7] Scalable Motor Movement Recognition from Electroencephalography using Machine Learning
    Sharma, Aditi
    Singh, Shivee
    Wright, Brian
    Perry, Alan
    Woodbridge, Diane Myung-kyung
    Popa, Abbie M.
    2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 2, 2019, : 484 - 489
  • [8] Identification of autism spectrum disorder using electroencephalography and machine learning: a review
    Ranaut, Anamika
    Khandnor, Padmavati
    Chand, Trilok
    JOURNAL OF NEURAL ENGINEERING, 2024, 21 (06)
  • [9] Supporting machine learning model in the treatment of chronic pain
    Visibelli, A.
    Spiga, O.
    Peruzzi, L.
    Santucci, A.
    FEBS OPEN BIO, 2024, 14 : 340 - 340
  • [10] Machine Learning in Chronic Pain Research: A Scoping Review
    Jenssen, Marit Dagny Kristine
    Bakkevoll, Per Atle
    Ngo, Phuong Dinh
    Budrionis, Andrius
    Fagerlund, Asbjorn Johansen
    Tayefi, Maryam
    Bellika, Johan Gustav
    Godtliebsen, Fred
    APPLIED SCIENCES-BASEL, 2021, 11 (07):