Work

The Power of Multiple Artificial Intelligence Models to Predict Global Chronic Kidney Disease Incidence: Who Leads the Race?

Year: 2025

Type: article

Source: American Journal of Nephrology

DOI: 10.1159/000549005

Authors: Jianbo Qing, Wisit Cheungpasitporn, Kaili Qin, Xiao Wang, Yafeng Li, Junnan Wu

Institutions: Sir Run Run Shaw Hospital, Zhejiang University, Mayo Clinic, Shanxi Medical University, Second Hospital of Shanxi Medical University, Sun Yat-sen University, Eighth Affiliated Hospital of Sun Yat-sen 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: W4417280186

FWCI: 0.602

Cites: 35

Cited by: 1

Related to: