Machine learning for morbid glomerular hypertrophy
Machine learning for morbid glomerular hypertrophy
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Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
A practical research method integrating data-driven machine learning with conventional model-driven statistics is sought after in medicine. Although glomerular hypertrophy (or a large renal corpuscle) on renal biopsy has pathophysiological implications, it is often misdiagnosed as adaptive/compensatory hypertrophy. Using a generative machine learni...
Alternative Titles
Full title
Machine learning for morbid glomerular hypertrophy
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TN_cdi_doaj_primary_oai_doaj_org_article_976a61b8c54f48e28fd4bffb6ec6ddd6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_976a61b8c54f48e28fd4bffb6ec6ddd6
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-23882-7
