Work

Artificial-Intelligence-Based Trajectory Clustering Analysis Identifies High-Risk and Previously Overlooked Patients with CKD

Year: 2025

Type: article

Source: Journal of the American Society of Nephrology

DOI: 10.1681/asn.2025jj6fzckf

Authors: Eiichiro Kanda, Bogdan I. Epureanu, Taiji Adachi, Tamaki Sasaki, Subramaniam Pennathur, Hirokazu Okada, Masaomi Nangaku, Naoki Kashihara

Institutions: Kawasaki Medical School, University of Michigan, Kyoto University

Language: English

Topic: Chronic Kidney Disease and Diabetes

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4416878286

FWCI:

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