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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

Identification results obtained with the modified naïve Bayesian classifier and Bruker Biotyper.

Journal: Molecules

Article Title: Detection of Intrinsically Resistant Candida in Mixed Samples by MALDI TOF-MS and a Modified Naïve Bayesian Classifier

doi: 10.3390/molecules26154470

Figure Lengend Snippet: Identification results obtained with the modified naïve Bayesian classifier and Bruker Biotyper.

Article Snippet: The identification results from the modified naïve Bayesian classifier and Bruker Biotyper are shown in and .

Techniques: Modification