A Growth Differentiation Factor 15-Based Risk Score Model to Predict Mortality in Hemodialysis Patients.

Jia-Feng ChangPo-Cheng ChenChih-Yu HsiehJian-Chiun Liou

Published in: Diagnostics (Basel, Switzerland) (2021)

Age, GDF15, and hypoalbuminemia predict all-cause and CV death in MHD patients, yet a combination scoring system provides more robust predictive powers. An elevated GDF15-based risk score warns clinicians to determine an appropriate intervention in advance. In light of this, the GDF15-based death prediction model could be developed in the artificial intelligence-based precision medicine.

Keyphrases

artificial intelligence
end stage renal disease
machine learning
ejection fraction
big data
randomized controlled trial
deep learning
newly diagnosed
chronic kidney disease
prognostic factors
palliative care
risk factors
cardiovascular disease
patient reported outcomes