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classification learner package  (MathWorks Inc)


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    MathWorks Inc classification learner package
    Classification Learner Package, 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/product/classification-learner+package/pm36129797-3001-1-1
    Average 90 stars, based on 1 article reviews
    classification learner package - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Selection:

    Article Title: Evaluation of inflammatory serum parameters as a diagnostic tool in patients with endometriosis: a case-control study.
    Article Snippet: .. Classifier training and selection as well as hyperparameter optimization of the selected model was performed using the MATLAB Classification Learner App within the MATLAB Toolbox (MathWork, Natick, MA) for Statistics and Machine-LearningTM. ..

    other:

    Article Title: Machine learning assisted LIBS classification of burnt and unburnt paper samples: A forensic perspective.
    Article Snippet: A crucial part of investigating into a possible arson case is analyzing the chemical makeup of the fire’s effects.. In order to identify the chemical makeup of burnt materials that are frequently found in homes and businesses, the current study attempts to explore the potential of LIBS in forensic applications including burning of as well as forgery in paper-based documents.. Various kinds of paper were chosen as a model sample to investigate the potential of Laser induced breakdown spectroscopy (LIBS) in forensics.

    Generated:

    Article Title: Enhancing cerebral infarct classification by automatically extracting relevant fMRI features.
    Article Snippet: .. Combining the previously generated manual features with auto-generated features, enabled the Matlab Classification Learner App to suggest the most relevant features based on the corresponding Chi-squared score. ..



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    Image Search Results


    Characteristics, classification and objectives of the machine learning models used in the studies

    Journal: BMC Medical Research Methodology

    Article Title: Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review

    doi: 10.1186/s12874-025-02463-y

    Figure Lengend Snippet: Characteristics, classification and objectives of the machine learning models used in the studies

    Article Snippet: Varghese [ ] b , Incidence risk stratification (classification): QSVM (radiomics-based) , Risk stratification for prostate cancer in low- and high-risk patients , desktop-based , CDSS , MATLAB's Classification-Learner Package , NR , NR.

    Techniques: Software, Biomarker Discovery, Diagnostic Assay, Imaging, Staining