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Machine learning and medicine: book review and commentary

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 di...

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Detalles Bibliográficos
Autores principales: Koprowski, Robert, Foster, Kenneth R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805011/
https://www.ncbi.nlm.nih.gov/pubmed/29391026
http://dx.doi.org/10.1186/s12938-018-0449-9
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author Koprowski, Robert
Foster, Kenneth R.
author_facet Koprowski, Robert
Foster, Kenneth R.
author_sort Koprowski, Robert
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description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12938-018-0449-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-58050112018-02-14 Machine learning and medicine: book review and commentary Koprowski, Robert Foster, Kenneth R. Biomed Eng Online Book Review 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12938-018-0449-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-01 /pmc/articles/PMC5805011/ /pubmed/29391026 http://dx.doi.org/10.1186/s12938-018-0449-9 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Book Review
Koprowski, Robert
Foster, Kenneth R.
Machine learning and medicine: book review and commentary
title Machine learning and medicine: book review and commentary
title_full Machine learning and medicine: book review and commentary
title_fullStr Machine learning and medicine: book review and commentary
title_full_unstemmed Machine learning and medicine: book review and commentary
title_short Machine learning and medicine: book review and commentary
title_sort machine learning and medicine: book review and commentary
topic Book Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805011/
https://www.ncbi.nlm.nih.gov/pubmed/29391026
http://dx.doi.org/10.1186/s12938-018-0449-9
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