Add to ORKGWaiting times are linked to risks for the patient and higher mortality rate. We propose a model to reduce waiting times in the ER by using the patient's previous history data from various heath services
BackgroundEmergency admissions are a major source of healthcare spending. We aimed to derive, valida...
This thesis aims at providing a robust predictive model that accurately estimates the waiting time o...
Emergency departments are an important area of a hospital, being the major entry point to the health...
Waiting times are linked to risks for the patient and higher mortality rate. We propose a model to r...
Machine learning for hospital operations is under-studied. We present a prediction pipeline that use...
Having an increasing number of patients in the emergency department constitutes an obstacle to the a...
This research lays down foundations for a stronger presence of machine learning in the emergency dep...
The Emergency Departments (ED) are a complex and important area of a hospital. With limited resource...
Objective: Early identification of emergency department (ED) patients who need hospitalization is es...
Objective: Early identification of emergency department (ED) patients who need hospitalization is es...
As the COVID-19 pandemic has afflicted the globe, health systems worldwide have also been significan...
Emergency Departments (EDs) in hospitals are experiencing severe crowding and prolonged patient wait...
Most of the patients visiting emergency departments face long waiting times due to overcrowding whic...
Objective: Early identification of emergency department (ED) patients who need hospitalization is es...
Recent research has highlighted the need to improve patient satisfaction by reducing perceived waiti...
BackgroundEmergency admissions are a major source of healthcare spending. We aimed to derive, valida...
This thesis aims at providing a robust predictive model that accurately estimates the waiting time o...
Emergency departments are an important area of a hospital, being the major entry point to the health...
Waiting times are linked to risks for the patient and higher mortality rate. We propose a model to r...
Machine learning for hospital operations is under-studied. We present a prediction pipeline that use...
Having an increasing number of patients in the emergency department constitutes an obstacle to the a...
This research lays down foundations for a stronger presence of machine learning in the emergency dep...
The Emergency Departments (ED) are a complex and important area of a hospital. With limited resource...
Objective: Early identification of emergency department (ED) patients who need hospitalization is es...
Objective: Early identification of emergency department (ED) patients who need hospitalization is es...
As the COVID-19 pandemic has afflicted the globe, health systems worldwide have also been significan...
Emergency Departments (EDs) in hospitals are experiencing severe crowding and prolonged patient wait...
Most of the patients visiting emergency departments face long waiting times due to overcrowding whic...
Objective: Early identification of emergency department (ED) patients who need hospitalization is es...
Recent research has highlighted the need to improve patient satisfaction by reducing perceived waiti...
BackgroundEmergency admissions are a major source of healthcare spending. We aimed to derive, valida...
This thesis aims at providing a robust predictive model that accurately estimates the waiting time o...
Emergency departments are an important area of a hospital, being the major entry point to the health...