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dc.contributor.authorKoprowski, Robert-
dc.contributor.authorFoster, Kenneth R.-
dc.date.accessioned2019-04-25T07:47:46Z-
dc.date.available2019-04-25T07:47:46Z-
dc.date.issued2018-
dc.identifier.citationBioMedical Engineering OnLine, Vol. 17 (2018), Art. No. 17pl_PL
dc.identifier.issn1475-925X-
dc.identifier.urihttp://hdl.handle.net/20.500.12128/8961-
dc.description.abstractThis 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.pl_PL
dc.language.isoenpl_PL
dc.rightsUznanie autorstwa 3.0 Polska*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/pl/*
dc.subjectMachine learningpl_PL
dc.subjectAlgorithmspl_PL
dc.subjectBiomedical technologiespl_PL
dc.subjectSpreadsheetspl_PL
dc.subjectOverfittingpl_PL
dc.subjectLeakagepl_PL
dc.subjectPractice guidelinespl_PL
dc.titleMachine learning and medicine: book review and commentarypl_PL
dc.typeinfo:eu-repo/semantics/reviewpl_PL
dc.identifier.doi10.1186/s12938-018-0449-9-
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Uznanie Autorstwa 3.0 Polska Creative Commons Creative Commons