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Impact of salt intake on urinary albumin excretion in patients with type 2 diabetic nephropathy: a retrospective cohort study based on a generalized additive model.
Kotake Y, Karashima S, Kawakami M, Hara S, Aono D, Konishi S, Kometani M, Mori H, Takeda Y, Yoneda T, Nambo H, Furukawa K. Kotake Y, et al. Among authors: yoneda t. Endocr J. 2022 May 30;69(5):577-583. doi: 10.1507/endocrj.EJ21-0447. Epub 2021 Dec 22. Endocr J. 2022. PMID: 34937811 Free article.
Explainable Machine Learning for Atrial Fibrillation in the General Population Using a Generalized Additive Model　- A Cross-Sectional Study.
Kawakami M, Karashima S, Morita K, Tada H, Okada H, Aono D, Kometani M, Nomura A, Demura M, Furukawa K, Yoneda T, Nambo H, Kawashiri MA. Kawakami M, et al. Among authors: yoneda t. Circ Rep. 2021 Dec 28;4(2):73-82. doi: 10.1253/circrep.CR-21-0151. eCollection 2022 Feb 10. Circ Rep. 2021. PMID: 35178483 Free PMC article.
Impact of gut microbiome on dyslipidemia in japanese adults: Assessment of the Shika-machi super preventive health examination results for causal inference.
Miyajima Y, Karashima S, Ogai K, Taniguchi K, Ogura K, Kawakami M, Nambo H, Kometani M, Aono D, Demura M, Yoneda T, Tsujiguchi H, Hara A, Nakamura H, Okamoto S. Miyajima Y, et al. Among authors: yoneda t. Front Cell Infect Microbiol. 2022 Sep 2;12:908997. doi: 10.3389/fcimb.2022.908997. eCollection 2022. Front Cell Infect Microbiol. 2022. PMID: 36118024 Free PMC article.
A hyperaldosteronism subtypes predictive model using ensemble learning.
Karashima S, Kawakami M, Nambo H, Kometani M, Kurihara I, Ichijo T, Katabami T, Tsuiki M, Wada N, Oki K, Ogawa Y, Okamoto R, Tamura K, Inagaki N, Yoshimoto T, Kobayashi H, Kakutani M, Fujita M, Izawa S, Suwa T, Kamemura K, Yamada M, Tanabe A, Naruse M, Yoneda T; JPAS/JRAS Study Group. Karashima S, et al. Among authors: yoneda t. Sci Rep. 2023 Feb 21;13(1):3043. doi: 10.1038/s41598-023-29653-2. Sci Rep. 2023. PMID: 36810868 Free PMC article.
986 results