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1.
Prescription rate of erythropoietin-stimulating agents is low for patients with renal impairment under non-nephrology care in a tertiary-level academic medical center in Japan.
Clin Exp Nephrol
; 26(7): 678-687, 2022 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-35230570
2.
Interpretable Stratification for Chronic Kidney Disease Progression Based on Time to Event Analysis.
AMIA Jt Summits Transl Sci Proc
; 2023: 244-253, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-37350897
3.
Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan.
BMJ Open
; 12(6): e058833, 2022 06 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-35680264
4.
Evasion of vaccine-induced humoral immunity by emerging sub-variants of SARS-CoV-2.
Future Microbiol
; 17: 417-424, 2022 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-35350884
5.
Cross-Border Transmissions of the Delta Substrain AY.29 During Tokyo Olympic and Paralympic Games.
Front Microbiol
; 13: 883849, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35992703
6.
Molecular and Epidemiological Characterization of Emerging Immune-Escape Variants of SARS-CoV-2.
Front Med (Lausanne)
; 9: 811004, 2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-35223905
7.
Increasing tendency of urine protein is a risk factor for rapid eGFR decline in patients with CKD: A machine learning-based prediction model by using a big database.
PLoS One
; 15(9): e0239262, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-32941535
8.
Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.
Sci Rep
; 9(1): 11862, 2019 08 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-31413285
9.
Risk Prediction of Diabetic Nephropathy via Interpretable Feature Extraction from EHR Using Convolutional Autoencoder.
Stud Health Technol Inform
; 247: 106-110, 2018.
Artículo
en Inglés
| MEDLINE | ID: mdl-29677932
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