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Top data mining tools for the healthcare industry
- Source :
- Journal of King Saud University - Computer and Information Sciences. 34:4968-4982
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
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.
- Subjects :
- Complex data type
General Computer Science
Computer science
business.industry
Healthcare
Open-source data mining tools
020206 networking & telecommunications
02 engineering and technology
computer.software_genre
Health care
Spark (mathematics)
0202 electrical engineering, electronic engineering, information engineering
Healthcare industry
020201 artificial intelligence & image processing
Data mining
Healthcare data
business
computer
Selection (genetic algorithm)
Subjects
Details
- ISSN :
- 13191578
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Journal of King Saud University - Computer and Information Sciences
- Accession number :
- edsair.doi.dedup.....dd98ab5a6f36807d68e54d4aba3e048a
- Full Text :
- https://doi.org/10.1016/j.jksuci.2021.06.002