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The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data

Celi, Leo A and Citi, Luca and Ghassemi, Marzyeh and Pollard, Tom J (2019) 'The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data.' PLoS ONE, 14 (1). ISSN 1932-6203

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Abstract

Recent years have seen a surge of studies in machine learning in health and biomedicine, driven by digitalization of healthcare environments and increasingly accessible computer systems for conducting analyses. Many of us believe that these developments will lead to significant improvements in patient care. Like many academic disciplines, however, progress is hampered by lack of code and data sharing. In bringing together this PLOS ONE collection on machine learning in health and biomedicine, we sought to focus on the importance of reproducibility, making it a requirement, as far as possible, for authors to share data and code alongside their papers.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 28 Jan 2019 13:26
Last Modified: 31 Jan 2019 13:15
URI: http://repository.essex.ac.uk/id/eprint/23908

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