Machine learning for morbid glomerular hypertrophy
Abstract 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/...
Main Authors: | Yusuke Ushio, Hiroshi Kataoka, Kazuhiro Iwadoh, Mamiko Ohara, Tomo Suzuki, Maiko Hirata, Shun Manabe, Keiko Kawachi, Taro Akihisa, Shiho Makabe, Masayo Sato, Naomi Iwasa, Rie Yoshida, Junichi Hoshino, Toshio Mochizuki, Ken Tsuchiya, Kosaku Nitta |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-11-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-022-23882-7 |
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