Please use this identifier to cite or link to this item: http://arl.liuc.it/dspace/handle/2468/6182
Title: Machine learning in orthopedics: a literature review
Authors: Cabitza, Federico
Locoro, Angela
Banfi, Giuseppe
Issue Date: 2018
Publisher: Frontiers media
Bibliographic citation: Cabitza Federico, Locoro Angela, Banfi Giuseppe (2018), Machine learning in orthopedics: a literature review. In: Frontiers in bioengineering and biotechnology, vol. 6, June 2018, article 75, p. 1-20. ISSN 2296-4185. DOI 10.3389/fbioe.2018.00075.
Abstract: In this paper we present the findings of a systematic literature review covering the articles published in the last two decades in which the authors described the application of a machine learning technique and method to an orthopedic problem or purpose. By searching both in the Scopus and Medline databases, we retrieved, screened and analyzed the content of 70 journal articles, and coded these resources following an iterative method within a Grounded Theory approach. We report the survey findings by outlining the articles' content in terms of the main machine learning techniques mentioned therein, the orthopedic application domains, the source data and the quality of their predictive performance.
URI: http://arl.liuc.it/dspace/handle/2468/6182
Journal/Book: Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Appears in Collections:Contributo in rivista

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