117 related articles for article (PubMed ID: 38740529)
1. Harnessing Voice Analysis and Machine Learning for Early Diagnosis of Parkinson's Disease: A Comparative Study Across Three Datasets.
Neto OP
J Voice; 2024 May; ():. PubMed ID: 38740529
[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. Applications of Machine Learning to Diagnosis of Parkinson's Disease.
Lai H; Li XY; Xu F; Zhu J; Li X; Song Y; Wang X; Wang Z; Wang C
Brain Sci; 2023 Nov; 13(11):. PubMed ID: 38002506
[TBL] [Abstract][Full Text] [Related]
4. Performance of machine learning methods in diagnosing Parkinson's disease based on dysphonia measures.
Lahmiri S; Dawson DA; Shmuel A
Biomed Eng Lett; 2018 Feb; 8(1):29-39. PubMed ID: 30603188
[TBL] [Abstract][Full Text] [Related]
5. Classification of Parkinson's disease based on multi-modal features and stacking ensemble learning.
Yang Y; Wei L; Hu Y; Wu Y; Hu L; Nie S
J Neurosci Methods; 2021 Feb; 350():109019. PubMed ID: 33321153
[TBL] [Abstract][Full Text] [Related]
6. Convolutional neural network ensemble for Parkinson's disease detection from voice recordings.
Hireš M; Gazda M; Drotár P; Pah ND; Motin MA; Kumar DK
Comput Biol Med; 2022 Feb; 141():105021. PubMed ID: 34799077
[TBL] [Abstract][Full Text] [Related]
7. Prediction of diabetes disease using an ensemble of machine learning multi-classifier models.
Abnoosian K; Farnoosh R; Behzadi MH
BMC Bioinformatics; 2023 Sep; 24(1):337. PubMed ID: 37697283
[TBL] [Abstract][Full Text] [Related]
8. Machine learning approaches to identify Parkinson's disease using voice signal features.
Alshammri R; Alharbi G; Alharbi E; Almubark I
Front Artif Intell; 2023; 6():1084001. PubMed ID: 37056913
[TBL] [Abstract][Full Text] [Related]
9. Voice in Parkinson's Disease: A Machine Learning Study.
Suppa A; Costantini G; Asci F; Di Leo P; Al-Wardat MS; Di Lazzaro G; Scalise S; Pisani A; Saggio G
Front Neurol; 2022; 13():831428. PubMed ID: 35242101
[TBL] [Abstract][Full Text] [Related]
10. Telemonitoring Parkinson's disease using machine learning by combining tremor and voice analysis.
Sajal MSR; Ehsan MT; Vaidyanathan R; Wang S; Aziz T; Mamun KAA
Brain Inform; 2020 Oct; 7(1):12. PubMed ID: 33090328
[TBL] [Abstract][Full Text] [Related]
11. Radiomics and Hybrid Models Based on Machine Learning to Predict Levodopa-Induced Dyskinesia of Parkinson's Disease in the First 6 Years of Levodopa Treatment.
Luo Y; Chen H; Gui M
Diagnostics (Basel); 2023 Jul; 13(15):. PubMed ID: 37568874
[TBL] [Abstract][Full Text] [Related]
12. Hybrid Machine Learning Framework for Multistage Parkinson's Disease Classification Using Acoustic Features of Sustained Korean Vowels.
Mondol SIMMR; Kim R; Lee S
Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627869
[TBL] [Abstract][Full Text] [Related]
13. SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection.
Kim TH; Krichen M; Ojo S; Sampedro GA; Alamro MA
Front Comput Neurosci; 2024; 18():1414462. PubMed ID: 38933392
[TBL] [Abstract][Full Text] [Related]
14. On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice.
Hireš M; Drotár P; Pah ND; Ngo QC; Kumar DK
Int J Med Inform; 2023 Nov; 179():105237. PubMed ID: 37801807
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets.
Islam MA; Hasan Majumder MZ; Hussein MA; Hossain KM; Miah MS
Heliyon; 2024 Feb; 10(3):e25469. PubMed ID: 38356538
[TBL] [Abstract][Full Text] [Related]
17. A novel ensemble of random forest for assisting diagnosis of Parkinson's disease on small handwritten dynamics dataset.
Xu S; Pan Z
Int J Med Inform; 2020 Dec; 144():104283. PubMed ID: 33010729
[TBL] [Abstract][Full Text] [Related]
18. Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.
Devi S; Kaul Ghanekar R; Pande JA; Dumbre D; Chavan R; Gupta H
Asian Pac J Cancer Prev; 2024 Mar; 25(3):1077-1085. PubMed ID: 38546090
[TBL] [Abstract][Full Text] [Related]
19. Detection of Parkinson disease using multiclass machine learning approach.
Srinivasan S; Ramadass P; Mathivanan SK; Panneer Selvam K; Shivahare BD; Shah MA
Sci Rep; 2024 Jun; 14(1):13813. PubMed ID: 38877028
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning-Based Classification of Parkinson's Disease Patients Using Speech Biomarkers.
Hossain MA; Amenta F
J Parkinsons Dis; 2024; 14(1):95-109. PubMed ID: 38160364
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
