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Title: Machine learning and medicine: book review and commentary
Authors: Koprowski, Robert
Foster, Kenneth R.
Keywords: Machine learning; Algorithms; Biomedical technologies; Spreadsheets; Overfitting; Leakage; Practice guidelines
Issue Date: 2018
Citation: BioMedical Engineering OnLine, Vol. 17 (2018), Art. No. 17
Abstract: This article is a review of the book “Master machine learning algorithms, discover how they work and implement them from scratch” (ISBN: not available, 37 USD, 163 pages) edited by Jason Brownlee published by the Author, edition, v1.10 http://MachineLearningMastery. com. An accompanying commentary discusses some of the issues that are involved with use of machine learning and data mining techniques to develop predictive models for diagnosis or prognosis of disease, and to call attention to additional requirements for developing diagnostic and prognostic algorithms that are generally useful in medicine. Appendix provides examples that illustrate potential problems with machine learning that are not addressed in the reviewed book.
DOI: 10.1186/s12938-018-0449-9
ISSN: 1475-925X
Appears in Collections:Artykuły (WNŚiT)

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