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bernoulli naïve bayesian (bnb)  (MathWorks Inc)


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    MathWorks Inc bernoulli naïve bayesian (bnb)
    Machine learning algorithms for 1‐year survival classification
    Bernoulli Naïve Bayesian (Bnb), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/bernoulli naïve bayesian (bnb)/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    bernoulli naïve bayesian (bnb) - by Bioz Stars, 2026-06
    90/100 stars

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    1) Product Images from "Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients"

    Article Title: Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients

    Journal: Journal of Cachexia, Sarcopenia and Muscle

    doi: 10.1002/jcsm.13315

    Machine learning algorithms for 1‐year survival classification
    Figure Legend Snippet: Machine learning algorithms for 1‐year survival classification

    Techniques Used: Plasmid Preparation



    Similar Products

    bernoulli naïve bayesian (bnb)  (MathWorks Inc)
    90
    MathWorks Inc bernoulli naïve bayesian (bnb)
    Machine learning algorithms for 1‐year survival classification
    Bernoulli Naïve Bayesian (Bnb), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/bernoulli naïve bayesian (bnb)/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    bernoulli naïve bayesian (bnb) - by Bioz Stars, 2026-06
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Machine learning algorithms for 1‐year survival classification

    Journal: Journal of Cachexia, Sarcopenia and Muscle

    Article Title: Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients

    doi: 10.1002/jcsm.13315

    Figure Lengend Snippet: Machine learning algorithms for 1‐year survival classification

    Article Snippet: For Bernoulli Naïve Bayesian (BNB), stochastic gradient descent classifier (SGDC) and extreme gradient boosting classifier (XGBC), the publicly available MATLAB third‐party toolboxes were adapted to our requirements and integrated in our workflow., , As illustrated in Figure , each classifier was trained for the 90 feature sets yielding 990 trained models.

    Techniques: Plasmid Preparation