BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

367 related articles for article (PubMed ID: 36502025)

  • 1. Machine Learning-Based Ensemble Classifiers for Anomaly Handling in Smart Home Energy Consumption Data.
    Kasaraneni PP; Venkata Pavan Kumar Y; Moganti GLK; Kannan R
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502025
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
    Maniruzzaman M; Jahanur Rahman M; Ahammed B; Abedin MM; Suri HS; Biswas M; El-Baz A; Bangeas P; Tsoulfas G; Suri JS
    Comput Methods Programs Biomed; 2019 Jul; 176():173-193. PubMed ID: 31200905
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides.
    Wani MA; Garg P; Roy KK
    Med Biol Eng Comput; 2021 Nov; 59(11-12):2397-2408. PubMed ID: 34632545
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A GA-stacking ensemble approach for forecasting energy consumption in a smart household: A comparative study of ensemble methods.
    Dostmohammadi M; Pedram MZ; Hoseinzadeh S; Garcia DA
    J Environ Manage; 2024 Jul; 364():121264. PubMed ID: 38870783
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Toward explainable AI-empowered cognitive health assessment.
    Javed AR; Khan HU; Alomari MKB; Sarwar MU; Asim M; Almadhor AS; Khan MZ
    Front Public Health; 2023; 11():1024195. PubMed ID: 36969684
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Assessing Children's Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach.
    Brons A; de Schipper A; Mironcika S; Toussaint H; Schouten B; Bakkes S; Kröse B
    J Med Internet Res; 2021 Apr; 23(4):e24237. PubMed ID: 33885371
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting sustainable arsenic mitigation using machine learning techniques.
    Singh SK; Taylor RW; Pradhan B; Shirzadi A; Pham BT
    Ecotoxicol Environ Saf; 2022 Mar; 232():113271. PubMed ID: 35121252
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.
    Abdel-Fattah MA; Othman NA; Goher N
    Comput Intell Neurosci; 2022; 2022():9898831. PubMed ID: 35251161
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease.
    Hossen MJ; Ramanathan TT; Al Mamun A
    Int J Telemed Appl; 2024; 2024():8188904. PubMed ID: 38660584
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection.
    Al-Sarem M; Saeed F; Alkhammash EH; Alghamdi NS
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009725
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated Cognitive Health Assessment Based on Daily Life Functional Activities.
    Alsubai S; Alqahtani A; Sha M; Abbas S; Gregus M; Furda R
    Comput Intell Neurosci; 2023; 2023():5684914. PubMed ID: 37455767
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
    Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
    Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Stack Ensemble Oriented Parkinson Disease Prediction Using Machine Learning Approaches Utilizing GridSearchCV-Based Hyper Parameter Tuning.
    Suroor N; Jaiswal A; Sachdeva N
    Crit Rev Biomed Eng; 2022; 50(5):39-58. PubMed ID: 37075096
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble.
    de Mattos Neto PSG; de Oliveira JFL; Bassetto P; Siqueira HV; Barbosa L; Alves EP; Marinho MHN; Rissi GF; Li F
    Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884100
    [TBL] [Abstract][Full Text] [Related]  

  • 17. AI and Blockchain-Based Secure Data Dissemination Architecture for IoT-Enabled Critical Infrastructure.
    Rathod T; Jadav NK; Tanwar S; Polkowski Z; Yamsani N; Sharma R; Alqahtani F; Gafar A
    Sensors (Basel); 2023 Nov; 23(21):. PubMed ID: 37960626
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers.
    Kang J; Ullah Z; Gwak J
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33810176
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data.
    Nef T; Urwyler P; Büchler M; Tarnanas I; Stucki R; Cazzoli D; Müri R; Mosimann U
    Sensors (Basel); 2015 May; 15(5):11725-40. PubMed ID: 26007727
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems.
    Mishra S; Shaw K; Mishra D; Patil S; Kotecha K; Kumar S; Bajaj S
    Front Public Health; 2022; 10():858282. PubMed ID: 35602150
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.