Abstract
Computer files of clinical data are often complex and multi-dimensional, and they are, frequently, hard to statistically test. Instead, visualization processes can be successfully used as an alternative approach to traditional statistical data analysis.
This chapter was previously published in “Machine learning in medicine-cookbook 3” as Chap. 1, Springer Heidelberg Germany, 2014.
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Cleophas, T.J., Zwinderman, A.H. (2020). Data Mining for Visualization of Health Processes (150 Patients). In: Machine Learning in Medicine – A Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-030-33970-8_7
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DOI: https://doi.org/10.1007/978-3-030-33970-8_7
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