A Computational Approach to Predict Clinical Features of PTSD: An fMRI and Machine Learning Study

被引:0
|
作者
Vakili, Amin Zand [1 ]
Barredo, Jennifer [1 ]
Aiken, Emily [1 ]
Greenberg, Benjamin [1 ]
Carpenter, Linda [1 ]
Philip, Noah [1 ]
机构
[1] Brown Univ, Alpert Med Sch, Providence, RI 02912 USA
关键词
Post Traumatic Stress Disorder; Resting State Functional Connectivity; Machine Learning; fMRI Biomarkers;
D O I
暂无
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
M27
引用
收藏
页码:S92 / S92
页数:1
相关论文
共 50 条
  • [1] MACHINE LEARNING OF NEUROIMAGING MARKERS TO PREDICT PEDIATRIC PTSD
    Herringa, Ryan
    JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY, 2018, 57 (10): : S306 - S306
  • [2] Multiple features for clinical relation extraction: A machine learning approach
    Alimova, Ilseyar
    Tutubalina, Elena
    JOURNAL OF BIOMEDICAL INFORMATICS, 2020, 103
  • [3] A Machine Learning fMRI Approach in the Diagnosis of Autism
    Karampasi, Aikaterini
    Kakkos, Ioannis
    Miloulis, Stavros-Theofanis
    Zorzos, Ioannis
    Dimitrakopoulos, Georgios N.
    Gkiatis, Kostakis
    Asvestas, Panteleimon
    Matsopoulos, George
    2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2020, : 3628 - 3631
  • [4] Machine Learning Approach to Predict Metastasis in Lung Cancer Based on Radiomic Features
    Fujarewicz, Krzysztof
    Wilk, Agata
    Borys, Damian
    D'Amico, Andrea
    Suwinski, Rafal
    Swierniak, Andrzej
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2022, PT II, 2022, 13758 : 40 - 50
  • [5] A Machine Learning Approach to Predict Fluid Viscosity Based on Droplet Dynamics Features
    Qin, Zhipeng
    Wang, Fulei
    Tang, Shengchang
    Liang, Shaohao
    APPLIED SCIENCES-BASEL, 2024, 14 (09):
  • [6] Feasibility Study of A Machine Learning Approach to Predict Dementia Progression
    Chi, Chih-Lin
    Oh, Wonsuk
    Borson, Soo
    2015 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2015), 2015, : 450 - 451
  • [7] Machine Learning Approach to Predict Sediment Load - A Case Study
    Azamathulla, Hazi Md
    Ab Ghani, Aminuddin
    Chang, Chun Kiat
    Abu Hasan, Zorkeflee
    Zakaria, Nor Azazi
    CLEAN-SOIL AIR WATER, 2010, 38 (10) : 969 - 976
  • [8] A Novel Computational Approach Coupled with Machine Learning to Predict the Extent of Agglomeration in Particulate Processes
    Sinha, Kushal
    Murphy, Eric
    Kumar, Prashant
    Springer, Kirsten A.
    Ho, Raimundo
    Nere, Nandkishor K.
    AAPS PHARMSCITECH, 2021, 23 (01)
  • [9] A Novel Computational Approach Coupled with Machine Learning to Predict the Extent of Agglomeration in Particulate Processes
    Kushal Sinha
    Eric Murphy
    Prashant Kumar
    Kirsten A. Springer
    Raimundo Ho
    Nandkishor K. Nere
    AAPS PharmSciTech, 23
  • [10] Using machine learning to predict sudden gains in intensive treatment for PTSD
    Christ, Nicole M.
    Schubert, Ryan A.
    Mundle, Rhea
    Pridgen, Sarah
    Held, Philip
    JOURNAL OF ANXIETY DISORDERS, 2023, 100