These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

456 related articles for article (PubMed ID: 35879937)

  • 1. Human behavior in image-based Road Health Inspection Systems despite the emerging AutoML.
    Siriborvornratanakul T
    J Big Data; 2022; 9(1):96. PubMed ID: 35879937
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated Machine Learning System for Defect Detection on Cylindrical Metal Surfaces.
    Huang YC; Hung KC; Lin JC
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560156
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Bibliometric Analysis and Benchmark of Machine Learning and AutoML in Crash Severity Prediction: The Case Study of Three Colombian Cities.
    Angarita-Zapata JS; Maestre-Gongora G; Calderín JF
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960494
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated machine learning: Review of the state-of-the-art and opportunities for healthcare.
    Waring J; Lindvall C; Umeton R
    Artif Intell Med; 2020 Apr; 104():101822. PubMed ID: 32499001
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Evaluation of the performance of traditional machine learning algorithms, convolutional neural network and AutoML Vision in ultrasound breast lesions classification: a comparative study.
    Wan KW; Wong CH; Ip HF; Fan D; Yuen PL; Fong HY; Ying M
    Quant Imaging Med Surg; 2021 Apr; 11(4):1381-1393. PubMed ID: 33816176
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Testing the applicability and performance of Auto ML for potential applications in diagnostic neuroradiology.
    Musigmann M; Akkurt BH; Krähling H; Nacul NG; Remonda L; Sartoretti T; Henssen D; Brokinkel B; Stummer W; Heindel W; Mannil M
    Sci Rep; 2022 Aug; 12(1):13648. PubMed ID: 35953588
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial.
    Thirunavukarasu AJ; Elangovan K; Gutierrez L; Li Y; Tan I; Keane PA; Korot E; Ting DSW
    J Med Internet Res; 2023 Oct; 25():e49949. PubMed ID: 37824185
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparisons of automated machine learning (AutoML) in predicting whistleblowing of academic dishonesty with demographic and theory of planned behavior.
    Rahman RA; Masrom S; Mohamad M; Sari EN; Saragih F; Rahman ASA
    MethodsX; 2023 Dec; 11():102364. PubMed ID: 37744883
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pharm-AutoML: An open-source, end-to-end automated machine learning package for clinical outcome prediction.
    Liu G; Lu D; Lu J
    CPT Pharmacometrics Syst Pharmacol; 2021 May; 10(5):478-488. PubMed ID: 33793093
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Machine Learning and Explainable AI (AutoML-XAI) for Metabolomics: Improving Cancer Diagnostics.
    Bifarin OO; Fernández FM
    J Am Soc Mass Spectrom; 2024 Jun; 35(6):1089-1100. PubMed ID: 38690775
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision.
    Zeng Y; Zhang J
    Comput Biol Med; 2020 Jul; 122():103861. PubMed ID: 32658738
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Biomedical image classification made easier thanks to transfer and semi-supervised learning.
    Inés A; Domínguez C; Heras J; Mata E; Pascual V
    Comput Methods Programs Biomed; 2021 Jan; 198():105782. PubMed ID: 33065493
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 14. AutoML-ID: automated machine learning model for intrusion detection using wireless sensor network.
    Singh A; Amutha J; Nagar J; Sharma S; Lee CC
    Sci Rep; 2022 May; 12(1):9074. PubMed ID: 35641584
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated machine learning with R: AutoML tools for beginners in clinical research.
    Park Y
    J Minim Invasive Surg; 2024 Sep; 27(3):129-137. PubMed ID: 39300720
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classification of dental implant systems using cloud-based deep learning algorithm: an experimental study.
    Kong HJ
    J Yeungnam Med Sci; 2023 Nov; 40(Suppl):S29-S36. PubMed ID: 37491843
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated machine learning in nanotoxicity assessment: A comparative study of predictive model performance.
    Xiao X; Trinh TX; Gerelkhuu Z; Ha E; Yoon TH
    Comput Struct Biotechnol J; 2024 Dec; 25():9-19. PubMed ID: 38414794
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study.
    Ikemura K; Bellin E; Yagi Y; Billett H; Saada M; Simone K; Stahl L; Szymanski J; Goldstein DY; Reyes Gil M
    J Med Internet Res; 2021 Feb; 23(2):e23458. PubMed ID: 33539308
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated machine learning and explainable AI (AutoML-XAI) for metabolomics: improving cancer diagnostics.
    Bifarin OO; Fernández FM
    bioRxiv; 2023 Oct; ():. PubMed ID: 37961534
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Classification of anatomic patterns of peripheral artery disease with automated machine learning (AutoML).
    Rusinovich Y; Rusinovich V; Buhayenka A; Liashko V; Sabanov A; Holstein DJF; Aldmour S; Doss M; Branzan D
    Vascular; 2024 Feb; ():17085381241236571. PubMed ID: 38404043
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.