Modeling Dynamic Patients Variables to Renal Failure in the Intensive Care Unit Using Bayesian Networks

• Main Authors: Shah N.N.H., Razak A.A., Razak N.N., Ramasamy A.K., Abu-Samah A., Hasan M.S.
• Other Authors: 7401823793
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2023

Bayesian networks; Blood pressure; Classification (of information); Creatinine; Failure (mechanical); Machine learning; Bayesia n networks; Comorbidities; Data discretization; Failure assessment; Machine-learning; Model dynamics; Organ failure; Renal failure; Sequential organ failure assessment scor...