Conventional machine learning-based prediction models did not outperform the International IgA Nephropathy Prediction Tool
Sehoon Park; Yisak Kim; Chung Hee Baek; Hyunjeong Cho; Ji In Park; Eun Sil Koh; Jung Pyo Lee; Sun-Hee Park · 2025 · Kidney Research and Clinical Practice
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Background: Immunoglobulin A nephropathy (IgAN) is a major cause of end-stage kidney disease (ESKD). The International IgA Nephropathy Prediction Tool (IIgAN-PT) predicts IgAN prognosis, but improvement in the prediction performance using…
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Metadata source: Crossref · DOI 10.23876/j.krcp.23.212