DYNACARE-OP: Dynamic Cardiac Arrest Risk Estimation Incorporating Ordinal Features
نویسندگان
چکیده
Cardiac arrest, a deadly condition caused by a sudden failure of the heart, is synonymous with clinical death (in-hospital mortality rate of ∼ 80%). Early and accurate estimation of patients at high risk of cardiac arrest is crucial for improving the survival rate. Existing research generally fails to utilize a patient’s temporal dynamics and/or leverage ordinal measurements. This paper presents a dynamic cardiac risk estimation model using ordered probit (DYNACARE-OP) to incorporate ordinal features. The model tracks a patient’s risk trajectory, leverages continuous and ordinal clinical measurements, provides an intuitive visualization to medical professionals, improves cardiac arrest event predictability, and estimates the cardiac arrest risk for a new patient.
منابع مشابه
DYNACARE: Dynamic Cardiac Arrest Risk Estimation
Cardiac arrest is a deadly condition caused by a sudden failure of the heart with an inhospital mortality rate of ∼ 80%. Therefore, the ability to accurately estimate patients at high risk of cardiac arrest is crucial for improving the survival rate. Existing research generally fails to utilize a patient’s temporal dynamics. In this paper, we present two dynamic cardiac risk estimation models, ...
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