BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 36082304)

  • 1. Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients.
    Dou R; Gao W; Meng Q; Zhang X; Cao W; Kuang L; Niu J; Guo Y; Cui D; Jiao Q; Qiu J; Su L; Lu G
    Front Comput Neurosci; 2022; 16():915477. PubMed ID: 36082304
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.
    Garcia-Chimeno Y; Garcia-Zapirain B; Gomez-Beldarrain M; Fernandez-Ruanova B; Garcia-Monco JC
    BMC Med Inform Decis Mak; 2017 Apr; 17(1):38. PubMed ID: 28407777
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting MCI to AD Conversation Using Integrated sMRI and rs-fMRI: Machine Learning and Graph Theory Approach.
    Zhang T; Liao Q; Zhang D; Zhang C; Yan J; Ngetich R; Zhang J; Jin Z; Li L
    Front Aging Neurosci; 2021; 13():688926. PubMed ID: 34421570
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Analysis of structural brain MRI and multi-parameter classification for Alzheimer's disease.
    Zhang Y; Liu S
    Biomed Tech (Berl); 2018 Jul; 63(4):427-437. PubMed ID: 28622141
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improved Multiclassification of Schizophrenia Based on Xgboost and Information Fusion for Small Datasets.
    Zhu W; Shen S; Zhang Z
    Comput Math Methods Med; 2022; 2022():1581958. PubMed ID: 35903435
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
    Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
    BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bio-inspired dimensionality reduction for Parkinson's disease (PD) classification.
    Pasha A; Latha PH
    Health Inf Sci Syst; 2020 Dec; 8(1):13. PubMed ID: 32206309
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison.
    Wu CT; Chu TW; Jang JR
    JMIR Med Inform; 2021 Aug; 9(8):e26398. PubMed ID: 34387552
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluation of machine learning algorithms performance for the prediction of early multiple sclerosis from resting-state FMRI connectivity data.
    SaccĂ  V; Sarica A; Novellino F; Barone S; Tallarico T; Filippelli E; Granata A; Chiriaco C; Bruno Bossio R; Valentino P; Quattrone A
    Brain Imaging Behav; 2019 Aug; 13(4):1103-1114. PubMed ID: 29992392
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Contribution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface Morphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar Disorder.
    Saglam Y; Ermis C; Takir S; Oz A; Hamid R; Kose H; Bas A; Karacetin G
    Acad Radiol; 2024 May; ():. PubMed ID: 38704285
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods.
    Liu J; Zeng P; Guo W; Wang C; Geng Y; Lang N; Yuan H
    J Magn Reson Imaging; 2021 Oct; 54(4):1303-1311. PubMed ID: 33979466
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Radiomics-Based Machine Learning Classification for Glioma Grading Using Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging.
    Hashido T; Saito S; Ishida T
    J Comput Assist Tomogr; 2021 Jul-Aug 01; 45(4):606-613. PubMed ID: 34270479
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Normal and Abnormal Classification of Electrocardiogram: A Primary Screening Tool Kit.
    Kirodiwal A; Jahnavi D; Dash A; Ghosh N; Patra A
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():2001-2004. PubMed ID: 36086436
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Characterization of breast tumors using machine learning based upon multiparametric magnetic resonance imaging features.
    Thakran S; Gupta RK; Singh A
    NMR Biomed; 2022 May; 35(5):e4665. PubMed ID: 34962326
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combined brain network topological metrics with machine learning algorithms to identify essential tremor.
    Li Q; Tao L; Xiao P; Gui H; Xu B; Zhang X; Zhang X; Chen H; Wang H; He W; Lv F; Cheng O; Luo J; Man Y; Xiao Z; Fang W
    Front Neurosci; 2022; 16():1035153. PubMed ID: 36408403
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Screening nonrandomized studies for medical systematic reviews: a comparative study of classifiers.
    Bekhuis T; Demner-Fushman D
    Artif Intell Med; 2012 Jul; 55(3):197-207. PubMed ID: 22677493
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
    Lee HS; Hong H; Jung DC; Park S; Kim J
    Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Research on an Identification Method for Gas Disaster Risk Based on the Selective Ensemble Classification Model.
    Liang R; Lv Q; Jia P; Zhao Z; Xu C
    ACS Omega; 2021 Jun; 6(22):14059-14067. PubMed ID: 34124429
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A Novel Blunge Calibration Intelligent Feature Classification Model for the Prediction of Hypothyroid Disease.
    Devi MS; Kumar VD; Brezulianu A; Geman O; Arif M
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772168
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ADHD diagnosis using structural brain MRI and personal characteristic data with machine learning framework.
    Lohani DC; Rana B
    Psychiatry Res Neuroimaging; 2023 Sep; 334():111689. PubMed ID: 37536046
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.