BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 37056794)

  • 1. Logistic random forest boosting technique for Alzheimer's diagnosis.
    Shastry KA; Sattar SA
    Int J Inf Technol; 2023; 15(3):1719-1731. PubMed ID: 37056794
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ensemble Model for Diagnostic Classification of Alzheimer's Disease Based on Brain Anatomical Magnetic Resonance Imaging.
    Khan YF; Kaushik B; Chowdhary CL; Srivastava G
    Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553199
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparing different algorithms for the course of Alzheimer's disease using machine learning.
    Tang X; Liu J
    Ann Palliat Med; 2021 Sep; 10(9):9715-9724. PubMed ID: 34628897
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Addressing the missing data challenge in multi-modal datasets for the diagnosis of Alzheimer's disease.
    Aghili M; Tabarestani S; Adjouadi M
    J Neurosci Methods; 2022 Jun; 375():109582. PubMed ID: 35346696
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Explainable AI-based Alzheimer's prediction and management using multimodal data.
    Jahan S; Abu Taher K; Kaiser MS; Mahmud M; Rahman MS; Hosen ASMS; Ra IH
    PLoS One; 2023; 18(11):e0294253. PubMed ID: 37972072
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnostic Classification and Biomarker Identification of Alzheimer's Disease with Random Forest Algorithm.
    Song M; Jung H; Lee S; Kim D; Ahn M
    Brain Sci; 2021 Apr; 11(4):. PubMed ID: 33918453
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches.
    Ganie SM; Malik MB; Arif T
    J Diabetes Metab Disord; 2022 Jun; 21(1):339-352. PubMed ID: 35673418
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Stacking Framework for Multi-Classification of Alzheimer's Disease Using Neuroimaging and Clinical Features.
    Chen D; Yi F; Qin Y; Zhang J; Ge X; Han H; Cui J; Bai W; Wu Y; Yu H;
    J Alzheimers Dis; 2022; 87(4):1627-1636. PubMed ID: 35491782
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.
    Dimitriadis SI; Liparas D; Tsolaki MN;
    J Neurosci Methods; 2018 May; 302():14-23. PubMed ID: 29269320
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer.
    Ozcan I; Aydin H; Cetinkaya A
    Asian Pac J Cancer Prev; 2022 Oct; 23(10):3287-3297. PubMed ID: 36308351
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer's disease based on interpretable machine learning.
    Lai Y; Lin X; Lin C; Lin X; Chen Z; Zhang L
    Front Pharmacol; 2022; 13():975774. PubMed ID: 36059957
    [No Abstract]   [Full Text] [Related]  

  • 12. An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection Methods.
    Marouf AA; Mottalib MM; Alhajj R; Rokne J; Jafarullah O
    Bioengineering (Basel); 2022 Dec; 10(1):. PubMed ID: 36671598
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data.
    Jiang X; Xu C
    J Clin Med; 2022 Sep; 11(19):. PubMed ID: 36233640
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients.
    Chowdhury NH; Reaz MBI; Haque F; Ahmad S; Ali SHM; A Bakar AA; Bhuiyan MAS
    Diagnostics (Basel); 2021 Dec; 11(12):. PubMed ID: 34943504
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Mortality in Hospitalized COVID-19 Patients in Zambia: An Application of Machine Learning.
    Mulenga C; Kaonga P; Hamoonga R; Mazaba ML; Chabala F; Musonda P
    Glob Health Epidemiol Genom; 2023; 2023():8921220. PubMed ID: 37260675
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction modelling of COVID using machine learning methods from B-cell dataset.
    Jain N; Jhunthra S; Garg H; Gupta V; Mohan S; Ahmadian A; Salahshour S; Ferrara M
    Results Phys; 2021 Feb; 21():103813. PubMed ID: 33495725
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Study on ML-Based Software Defect Detection for Security Traceability in Smart Healthcare Applications.
    Mcmurray S; Sodhro AH
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050529
    [TBL] [Abstract][Full Text] [Related]  

  • 18. AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19.
    Akter S; Das D; Haque RU; Quadery Tonmoy MI; Hasan MR; Mahjabeen S; Ahmed M
    Comput Biol Med; 2022 Jul; 146():105657. PubMed ID: 35672170
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep Learning for Alzheimer's Disease Classification using Texture Features.
    So JH; Madusanka N; Choi HK; Choi BK; Park HG
    Curr Med Imaging Rev; 2019; 15(7):689-698. PubMed ID: 32008517
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ensemble of convolutional neural networks and multilayer perceptron for the diagnosis of mild cognitive impairment and Alzheimer's disease.
    Li M; Jiang Y; Li X; Yin S; Luo H
    Med Phys; 2023 Jan; 50(1):209-225. PubMed ID: 36121183
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.