BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

209 related articles for article (PubMed ID: 34208330)

  • 1. Vocal Feature Extraction-Based Artificial Intelligent Model for Parkinson's Disease Detection.
    Hoq M; Uddin MN; Park SB
    Diagnostics (Basel); 2021 Jun; 11(6):. PubMed ID: 34208330
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic and Early Detection of Parkinson's Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method.
    Alalayah KM; Senan EM; Atlam HF; Ahmed IA; Shatnawi HSA
    Diagnostics (Basel); 2023 May; 13(11):. PubMed ID: 37296776
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Hybrid Feature Selection Framework for the Parkinson Imbalanced Dataset Prediction Problem.
    Qasim HM; Ata O; Ansari MA; Alomary MN; Alghamdi S; Almehmadi M
    Medicina (Kaunas); 2021 Nov; 57(11):. PubMed ID: 34833435
    [No Abstract]   [Full Text] [Related]  

  • 6. An Unsupervised Neural Network Feature Selection and 1D Convolution Neural Network Classification for Screening of Parkinsonism.
    Mian TS
    Diagnostics (Basel); 2022 Jul; 12(8):. PubMed ID: 35892507
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.
    Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Artificial-Intelligence-Based Approach for Classification of Parkinson's Disease Using Complex and Large Vocal Features.
    Nijhawan R; Kumar M; Arya S; Mendirtta N; Kumar S; Towfek SK; Khafaga DS; Alkahtani HK; Abdelhamid AA
    Biomimetics (Basel); 2023 Aug; 8(4):. PubMed ID: 37622956
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Effective Early Detection of Epileptic Seizures through EEG Signals Using Classification Algorithms Based on t-Distributed Stochastic Neighbor Embedding and K-Means.
    Alalayah KM; Senan EM; Atlam HF; Ahmed IA; Shatnawi HSA
    Diagnostics (Basel); 2023 Jun; 13(11):. PubMed ID: 37296809
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Deep Learning Feature Extraction Approach for Hematopoietic Cancer Subtype Classification.
    Park KH; Batbaatar E; Piao Y; Theera-Umpon N; Ryu KH
    Int J Environ Res Public Health; 2021 Feb; 18(4):. PubMed ID: 33672300
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A new hybrid intelligent system for accurate detection of Parkinson's disease.
    Hariharan M; Polat K; Sindhu R
    Comput Methods Programs Biomed; 2014 Mar; 113(3):904-13. PubMed ID: 24485390
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Discrimination between healthy and patients with Parkinson's disease from hand resting activity using inertial measurement unit.
    Peres LB; Calil BC; da Silva APSPB; Dionísio VC; Vieira MF; de Oliveira Andrade A; Pereira AA
    Biomed Eng Online; 2021 May; 20(1):50. PubMed ID: 34022895
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Automated Parkinson's disease recognition based on statistical pooling method using acoustic features.
    Yaman O; Ertam F; Tuncer T
    Med Hypotheses; 2020 Feb; 135():109483. PubMed ID: 31954340
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated Brain Tumour Detection and Classification using Deep Features and Bayesian Optimised Classifiers.
    Kumar SA; Sasikala S
    Curr Med Imaging; 2023 Mar; ():. PubMed ID: 37018527
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A gradient boosting classifier for purchase intention prediction of online shoppers.
    Abdullah-All-Tanvir ; Ali Khandokar I; Muzahidul Islam AKM; Islam S; Shatabda S
    Heliyon; 2023 Apr; 9(4):e15163. PubMed ID: 37095970
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Seminal quality prediction using data mining methods.
    Sahoo AJ; Kumar Y
    Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.