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 *

262 related articles for article (PubMed ID: 32910301)

  • 1. Estimation of Parkinson's disease severity using speech features and extreme gradient boosting.
    Tunc HC; Sakar CO; Apaydin H; Serbes G; Gunduz A; Tutuncu M; Gurgen F
    Med Biol Eng Comput; 2020 Nov; 58(11):2757-2773. PubMed ID: 32910301
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Analyzing the effectiveness of vocal features in early telediagnosis of Parkinson's disease.
    Erdogdu Sakar B; Serbes G; Sakar CO
    PLoS One; 2017; 12(8):e0182428. PubMed ID: 28792979
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity.
    Tsanas A; Little MA; McSharry PE; Ramig LO
    J R Soc Interface; 2011 Jun; 8(59):842-55. PubMed ID: 21084338
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Speech features for telemonitoring of Parkinson's disease symptoms.
    Ramezani H; Khaki H; Erzin E; Akan OB
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3801-3805. PubMed ID: 29060726
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Ensemble deep model for continuous estimation of Unified Parkinson's Disease Rating Scale III.
    Hssayeni MD; Jimenez-Shahed J; Burack MA; Ghoraani B
    Biomed Eng Online; 2021 Mar; 20(1):32. PubMed ID: 33789666
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.
    Buongiorno D; Bortone I; Cascarano GD; Trotta GF; Brunetti A; Bevilacqua V
    BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 9):243. PubMed ID: 31830986
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements.
    Avuçlu E; Elen A
    Med Biol Eng Comput; 2020 Nov; 58(11):2775-2788. PubMed ID: 32920727
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Accurate telemonitoring of Parkinson's disease progression by noninvasive speech tests.
    Tsanas A; Little MA; McSharry PE; Ramig LO
    IEEE Trans Biomed Eng; 2010 Apr; 57(4):884-93. PubMed ID: 19932995
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Empirical Wavelet Transform Based Features for Classification of Parkinson's Disease Severity.
    Oung QW; Muthusamy H; Basah SN; Lee H; Vijean V
    J Med Syst; 2017 Dec; 42(2):29. PubMed ID: 29288342
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction and Estimation of Parkinson's Disease Severity Based on Voice Signal.
    Hemmerling D; Wojcik-Pedziwiatr M
    J Voice; 2022 May; 36(3):439.e9-439.e20. PubMed ID: 32807590
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Telediagnosis of Parkinson's disease using measurements of dysphonia.
    Sakar CO; Kursun O
    J Med Syst; 2010 Aug; 34(4):591-9. PubMed ID: 20703913
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach.
    Armañanzas R; Bielza C; Chaudhuri KR; Martinez-Martin P; Larrañaga P
    Artif Intell Med; 2013 Jul; 58(3):195-202. PubMed ID: 23711400
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning methods for optimal prediction of motor outcome in Parkinson's disease.
    Salmanpour MR; Shamsaei M; Saberi A; Klyuzhin IS; Tang J; Sossi V; Rahmim A
    Phys Med; 2020 Jan; 69():233-240. PubMed ID: 31918375
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A mobile-assisted voice condition analysis system for Parkinson's disease: assessment of usability conditions.
    Carrón J; Campos-Roca Y; Madruga M; Pérez CJ
    Biomed Eng Online; 2021 Nov; 20(1):114. PubMed ID: 34802448
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Patient-specific game-based transfer method for Parkinson's disease severity prediction.
    Xue Z; Lu H; Zhang T; Little MA
    Artif Intell Med; 2024 Apr; 150():102810. PubMed ID: 38553149
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Lipidomics Prediction of Parkinson's Disease Severity: A Machine-Learning Analysis.
    Avisar H; Guardia-Laguarta C; Area-Gomez E; Surface M; Chan AK; Alcalay RN; Lerner B
    J Parkinsons Dis; 2021; 11(3):1141-1155. PubMed ID: 33814463
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An Intelligent Mobile-Enabled System for Diagnosing Parkinson Disease: Development and Validation of a Speech Impairment Detection System.
    Zhang L; Qu Y; Jin B; Jing L; Gao Z; Liang Z
    JMIR Med Inform; 2020 Sep; 8(9):e18689. PubMed ID: 32936086
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Remote Assessment of Parkinson's Disease Symptom Severity Using the Simulated Cellular Mobile Telephone Network.
    Tsanas A; Little MA; Ramig LO
    IEEE Access; 2021; 9():11024-11036. PubMed ID: 33495722
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 14.