How to develop machine learning models for healthcare
Rapid progress in machine learning is enabling opportunities for improved clinical decision support. Importantly, however, developing, validating and implementing machine learning models for healthcare entail some particular considerations to increase the chances of eventually improving patient care...
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Published in | Nature materials Vol. 18; no. 5; pp. 410 - 414 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
Nature Publishing Group
01.05.2019
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Subjects | |
Online Access | Get full text |
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Summary: | Rapid progress in machine learning is enabling opportunities for improved clinical decision support. Importantly, however, developing, validating and implementing machine learning models for healthcare entail some particular considerations to increase the chances of eventually improving patient care. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1476-1122 1476-4660 |
DOI: | 10.1038/s41563-019-0345-0 |