An Interpretable Machine Learning Survival Model for Predicting Long-term Kidney Outcomes in IgA Nephropathy

IgA nephropathy (IgAN) is common worldwide and has heterogeneous phenotypes. Predicting long-term outcomes is important for clinical decision-making. As right-censored patients become common during the long-term follow-up, either excluding these patients from the cohort or labeling them as control w...

Popoln opis

Shranjeno v:
Bibliografske podrobnosti
izdano v:AMIA Annu Symp Proc
Main Authors: Li, Yingxue, Chen, Tingyu, Chen, Tiange, Li, Xiang, Zeng, Caihong, Liu, Zhihong, Xie, Guotong
Format: Artigo
Jezik:Inglês
Izdano: American Medical Informatics Association 2021
Teme:
Articles
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC8075445/
https://ncbi.nlm.nih.gov/pubmed/33936448
Oznake: Označite
Brez oznak, prvi označite!

Podobne knjige/članki