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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 23, 2023
Interpretable Stratification for Chronic Kidney Disease Progression Based on Time to Event AnalysisMohamed Ghalwash, Akira Koseki, Toshiya Iwamori, et al.
Plos One|September 17, 2020
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 databaseDaijo Inaguma, Akimitsu Kitagawa, Ryosuke Yanagiya, et al.
Clinical and Experimental Nephrology|March 1, 2022
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 JapanNaoki Okamoto, Daijo Inaguma, Hiroki Hayashi, et al.
BMJ Open|June 9, 2022
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 JapanDaijo Inaguma, Hiroki Hayashi, Ryosuke Yanagiya, et al.
BMC Nephrology|May 12, 2026
Multimodal predictions of end stage chronic kidney disease from asymptomatic individuals for discovery of genomic biomarkersSimona Rabinovici-Cohen, Daniel E Platt, Toshiya Iwamori, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|October 2, 2021
Deep convolutional neural network-based algorithm for muscle biopsy diagnosisYoshinori Kabeya, Mariko Okubo, Sho Yonezawa, et al.
Ebiomedicine|March 22, 2021
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography dataSubhrajit Roy, Isabell Kiral, Mahtab Mirmomeni, et al.
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