In this paper, we propose a framework to dynamically estimate the probability that a patient
is readmitted after he is discharged from the ICU and transferred to a lower level care. We …

In this paper, we present a method to dynamically estimate the probability of mortality inside
the Intensive Care Unit (ICU) by combining heterogeneous data. We propose a method …

A hospital readmission is when a patient who was discharged from the hospital is admitted
again for the same or related care within a certain period. Hospital readmissions are a …

Abstract Background: Electronic Health Records (EHRs) aggregate diverse information at
the patient level, holding a trajectory representative of the evolution of the patient health …

With the aid of statistical learning tools nowadays, a variety of clinical prediction tasks can be
examined and modeled in a quantitative way. Predicting hospital readmission probability is …

Patients are often discharged prematurely from Intensive Care Units (ICU) due to clinical
resource limitations, economic pressure or poor discharge planning. The readmission of …

Today, the existence of a vast amount of electronic health data has created potential
capacities for conducting studies aiming to improve the medical services provided to …

Unplanned intensive care units (ICU) readmissions and in-hospital mortality of patients are
two important metrics for evaluating the quality of hospital care. Identifying patients with …

Background Patients who are readmitted to an intensive care unit (ICU) usually have a high
risk of mortality and an increased length of stay. ICU readmission risk prediction may help …

ICU readmissions are associated with poor outcomes for patients and poor performance of
hospitals. Patients who are readmitted have an increased risk of in-hospital deaths; …