This paper proposes a Multi-Classifier Systems framework for supporting diagnostic activities with the aim of improving diagnostic accuracy.
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Multi-Classifier Approaches for Supporting Clinical Decision Making. Language: English; Authors: Groccia, Maria Carmela1 (AUTHOR) mariacarmela.groccia@unical ...
This review is an extensive survey on the current state-of-the-art of SVMs developed and applied in the medical field over the years, including hybrid ...
The framework uses and combines several classification algorithms by dynamically selecting the most competent classifier according to the test sample and its ...
These multi-criteria methods are designed to help people make better choices when faced with complex decisions involving several dimensions.
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Multi-classifier approaches can improve accuracy in classification task. In this work, we propose Multi-classifier approaches based on dynamic classifier ...
Aug 5, 2017 · This Ph.D. thesis proposes: (1) a CDSS software architecture composed by several clinical knowledge modules (KMs) and able to facilitate the interoperability ...
Nov 13, 2023 · Multi-classifier approaches for improving Clinical Decision Support Systems. Maria Carmela Groccia. 4OR, 2017, vol. 15, issue 4, No 6, 433-434.
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Experimental results show that a suitable pool of different classifiers increases accuracy in classification task, which suggests that the proposed ...
Multi-criteria decision analysis (MCDA) is increasingly used to support decisions in healthcare involving multiple and conflicting criteria.