Explainable machine learning-based risk prediction model for in-hospital mortality after continuous renal replacement therapy initiation

PS Hung, PR Lin, HH Hsu, YC Huang, SH Wu, CT Kor - Diagnostics, 2022 - mdpi.com
In this study, we established an explainable and personalized risk prediction model for in-
hospital mortality after continuous renal replacement therapy (CRRT) initiation. This …

First 24-hour potassium concentration and variability and association with mortality in patients requiring continuous renal replacement therapy in intensive care units …

IC Mao, PR Lin, SH Wu, HH Hsu, PS Hung… - Journal of Clinical …, 2022 - mdpi.com
Serum potassium (K+) levels between 3.5 and 5.0 mmol/L are considered safe for patients.
The optimal serum K+ level for critically ill patients with acute kidney injury undergoing …