Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.

Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.

The billing database of the universal healthcare system in Japan potentially includes large-cohort data of patients with immunoglobulin A nephropathy, diagnosis codes aimed at billing should not be directly used for clinical research because of the risk of misdiagnosis. To solve this problem, we aim...

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Bibliographic Details
Main Authors: Ryoya Tsunoda, Keitaro Kume, Rina Kagawa, Masaru Sanuki, Hiroyuki Kitagawa, Kaori Mase, Kunihiro Yamagata
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0312915
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