MedGCN: Medication recommendation and lab test imputation via graph convolutional networks
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks
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Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Laboratory testing and medication prescription are two of the most important routines in daily clinical practice. Developing an artificial intelligence system that can automatically make lab test imputations and medication recommendations can save costs on potentially redundant lab tests and inform physicians of a more effective prescription. We pr...
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Full title
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks
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Author / Creator
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TN_cdi_proquest_journals_2591866594
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2591866594
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.1904.00326
