Abstract
The purpose of this scoping review was to observe the evolution of using data mining and machine learning techniques in health care based on the MEDLINE database. We used PRISMA-ScR to observe the techniques evolution and its usage according to the number of scientific publications that reference them from 2000 to 2018. On the basis of the results, we established two search strategies when performing a query about the subject. We also found that the three main techniques used in health care are “cluster,” “support vector machine,” and “neural networks.”
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Sanchez Zuleta, C.C., Giraldo Marín, L.M., Vélez Gómez, J.F., Sanguino Cotte, D., Vargas López, C.A., Jaimes Barragán, F.A. (2021). Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Ramalho Correia, A.M. (eds) Trends and Applications in Information Systems and Technologies . WorldCIST 2021. Advances in Intelligent Systems and Computing, vol 1366. Springer, Cham. https://doi.org/10.1007/978-3-030-72651-5_15
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DOI: https://doi.org/10.1007/978-3-030-72651-5_15
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