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Titlebook: Soft Computing for Biomedical Applications and Related Topics; Vladik Kreinovich,Nguyen Hoang Phuong Book 2021 The Editor(s) (if applicabl

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Accuracy of Data Fusion: Interval (and Fuzzy) Caseame quantity, we can fuse them into a single more accurate estimate. What is the accuracy of this estimate? The corresponding formulas are known for the case of probabilistic uncertainty. In this paper, we provide similar formulas for the cases of interval and fuzzy uncertainty.
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Imputing Missing Values: Reinforcement Bayesian Regression and Random Forestblish a better approach to dealing with missing data. Clinical data often contain erroneous data, which cause major drawbacks for analysis. In this paper, we present a new dynamic approach for managing missing data in biomedical databases in order to improve overall modeling accuracy. We propose a r
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From Machine Learning to Knowledge-Based Decision Support—A Predictive-Model-Markup-Language-to-Arde(CDS) systems. The predictive model markup language (PMML) specifies a file format for the representation and exchange of statistical and data mining models. To use those machine-learned models in Arden-Syntax-based CDS systems, the PMML files have to be transformed into an Arden Syntax representati
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ESYNDIAG: A Fuzzy Expert System for Eight Syndrome Diagnosis in Traditional Vietnamese Medicine rules. After designing and building a suitable inference engine for this system, efforts have been committed to create effective knowledge base consisting of more 800 positive rules for confirmation of conclusion and of more 100 negative rules for exclusion of the same conclusion. How the rule base
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