These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

116 related articles for article (PubMed ID: 38983780)

  • 1. Integrating fNIRS and machine learning: shedding light on Parkinson's disease detection.
    Guevara E; Solana-Lavalle G; Rosas-Romero R
    EXCLI J; 2024; 23():763-771. PubMed ID: 38983780
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring the application and challenges of fNIRS technology in early detection of Parkinson's disease.
    Hui P; Jiang Y; Wang J; Wang C; Li Y; Fang B; Wang H; Wang Y; Qie S
    Front Aging Neurosci; 2024; 16():1354147. PubMed ID: 38524116
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Whole-Head Functional Near-Infrared Spectroscopy as an Ecological Monitoring Tool for Assessing Cortical Activity in Parkinson's Disease Patients at Different Stages.
    Bonilauri A; Sangiuliano Intra F; Rossetto F; Borgnis F; Baselli G; Baglio F
    Int J Mol Sci; 2022 Nov; 23(23):. PubMed ID: 36499223
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Diagnosis of Chronic Musculoskeletal Pain by Using Functional Near-Infrared Spectroscopy and Machine Learning.
    Zeng X; Tang W; Yang J; Lin X; Du M; Chen X; Yuan Z; Zhang Z; Chen Z
    Bioengineering (Basel); 2023 Jun; 10(6):. PubMed ID: 37370599
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN.
    Nour M; Senturk U; Polat K
    Comput Biol Med; 2023 Jul; 161():107031. PubMed ID: 37211002
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease.
    Junaid M; Ali S; Eid F; El-Sappagh S; Abuhmed T
    Comput Methods Programs Biomed; 2023 Jun; 234():107495. PubMed ID: 37003039
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Gradient boosting for Parkinson's disease diagnosis from voice recordings.
    Karabayir I; Goldman SM; Pappu S; Akbilgic O
    BMC Med Inform Decis Mak; 2020 Sep; 20(1):228. PubMed ID: 32933493
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease.
    Salmanpour MR; Shamsaei M; Rahmim A
    Comput Methods Programs Biomed; 2021 Jul; 206():106131. PubMed ID: 34015757
    [TBL] [Abstract][Full Text] [Related]  

  • 9. K-Means Clustering Machine Learning Approach Reveals Groups of Homogeneous Individuals With Unique Brain Activation, Task, and Performance Dynamics Using fNIRS.
    Saikia MJ
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():2535-2544. PubMed ID: 37216239
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Convolutional neural networks can detect orthostatic hypotension in Parkinson's disease using resting-state functional near-infrared spectroscopy data.
    Lee SH; Paik SH; Kang SY; Phillips Z; Kim JB; Kim BJ; Kim BM
    J Biophotonics; 2024 Jul; ():e202400138. PubMed ID: 38952169
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Subject-Specific feature selection for near infrared spectroscopy based brain-computer interfaces.
    Aydin EA
    Comput Methods Programs Biomed; 2020 Oct; 195():105535. PubMed ID: 32534382
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An EEG-fNIRS hybridization technique in the four-class classification of alzheimer's disease.
    Cicalese PA; Li R; Ahmadi MB; Wang C; Francis JT; Selvaraj S; Schulz PE; Zhang Y
    J Neurosci Methods; 2020 Apr; 336():108618. PubMed ID: 32045572
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Causal Forest Machine Learning Analysis of Parkinson's Disease in Resting-State Functional Magnetic Resonance Imaging.
    Solana-Lavalle G; Cusimano MD; Steeves T; Rosas-Romero R; Tyrrell PN
    Tomography; 2024 Jun; 10(6):894-911. PubMed ID: 38921945
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Parkinson's disease patients show delayed hemodynamic changes in primary motor cortex in fine motor tasks and decreased resting-state interhemispheric functional connectivity: a functional near-infrared spectroscopy study.
    Guevara E; Rivas-Ruvalcaba FJ; Kolosovas-Machuca ES; Ramírez-Elías M; de León Zapata RD; Ramirez-GarciaLuna JL; Rodríguez-Leyva I
    Neurophotonics; 2024 Apr; 11(2):025004. PubMed ID: 38812966
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Blood-based gene-expression biomarkers identification for the non-invasive diagnosis of Parkinson's disease using two-layer hybrid feature selection.
    Augustine J; Jereesh AS
    Gene; 2022 May; 823():146366. PubMed ID: 35202733
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Gaming behavior and brain activation using functional near-infrared spectroscopy, Iowa gambling task, and machine learning techniques.
    Kornev D; Nwoji S; Sadeghian R; Esmaili Sardari S; Dashtestani H; He Q; Gandjbakhche A; Aram S
    Brain Behav; 2022 Apr; 12(4):e2536. PubMed ID: 35290722
    [TBL] [Abstract][Full Text] [Related]  

  • 17. fNIRS-based brain state transition features to signify functional degeneration after Parkinson's disease.
    Lu J; Wang Y; Shu Z; Zhang X; Wang J; Cheng Y; Zhu Z; Yu Y; Wu J; Han J; Yu N
    J Neural Eng; 2022 Aug; 19(4):. PubMed ID: 35917809
    [No Abstract]   [Full Text] [Related]  

  • 18. Analysis of Parkinson's Disease Using an Imbalanced-Speech Dataset by Employing Decision Tree Ensemble Methods.
    Barukab O; Ahmad A; Khan T; Thayyil Kunhumuhammed MR
    Diagnostics (Basel); 2022 Nov; 12(12):. PubMed ID: 36553007
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Joint-Channel-Connectivity-Based Feature Selection and Classification on fNIRS for Stress Detection in Decision-Making.
    Huang M; Zhang X; Chen X; Mai Y; Wu X; Zhao J; Feng Q
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():1858-1869. PubMed ID: 35788456
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic detection of Parkinson's disease from power spectral density of electroencephalography (EEG) signals using deep learning model.
    Göker H
    Phys Eng Sci Med; 2023 Sep; 46(3):1163-1174. PubMed ID: 37245195
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.