Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/100673
Title: Top data mining tools for the healthcare industry
Authors: Santos-Pereira, Judith
Gruenwald, Le
Bernardino, Jorge 
Keywords: Data mining; Healthcare; Open-source data mining tools
Issue Date: 2021
Serial title, monograph or event: Journal of King Saud University - Computer and Information Sciences
Abstract: The healthcare industry has become increasingly challenging, requiring retrieval of knowledge from large amounts of complex data to find the best treatments. Several works have suggested the use of Data Mining tools to overcome the challenges; however, none of them has suggested the best tool to do so. To fill this gap, this paper presents a survey of popular open-source data mining tools in which data mining tool selection criteria based on healthcare application requirements is proposed and the best ones using the proposed selection criteria are identified. The following popular open-source data mining tools are assessed: KNIME, R, RapidMiner, Scikit-learn, and Spark. The study shows that KNIME and RapidMiner provide the largest coverage of healthcare data mining requirements
URI: http://hdl.handle.net/10316/100673
ISSN: 13191578
DOI: 10.1016/j.jksuci.2021.06.002
Rights: openAccess
Appears in Collections:I&D CISUC - Artigos em Revistas Internacionais

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