Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data
Background In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …
forecasting how long surgical patients receiving elective procedures would spend in the …
[HTML][HTML] A machine learning algorithm predicts duration of hospitalization in COVID-19 patients
The COVID-19 pandemic has placed unprecedented strain on the healthcare system,
particularly hospital bed capacity in the setting of large variations in patient length of stay …
particularly hospital bed capacity in the setting of large variations in patient length of stay …
Time-to-event modeling for hospital length of stay prediction for COVID-19 patients
Providing timely patient care while maintaining optimal resource utilization is one of the
central operational challenges hospitals have been facing throughout the pandemic …
central operational challenges hospitals have been facing throughout the pandemic …
Quantifying the impact of addressing data challenges in prediction of length of stay
Background Prediction of length of stay (LOS) at admission time can provide physicians and
nurses insight into the illness severity of patients and aid them in avoiding adverse events …
nurses insight into the illness severity of patients and aid them in avoiding adverse events …
A machine learning study to improve surgical case duration prediction
Since the emergence of COVID-19, many hospitals have encountered challenges in
performing efficient scheduling and good resource management to ensure the quality of …
performing efficient scheduling and good resource management to ensure the quality of …
Prediction of length of stay in the emergency department for COVID-19 patients: A machine learning approach
The coronavirus disease (COVID-19) outbreak has become a global public health threat.
The influx of COVID-19 patients has prolonged the length of stay (LOS) in the emergency …
The influx of COVID-19 patients has prolonged the length of stay (LOS) in the emergency …
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation
Accurately predicting hospital length-of-stay at the time a patient is admitted to hospital may
help guide clinical decision making and resource allocation. In this study we aim to build a …
help guide clinical decision making and resource allocation. In this study we aim to build a …
Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality
DI Andonov, B Ulm, M Graessner… - BMC Medical Informatics …, 2023 - Springer
Background Machine-learning models are susceptible to external influences which can
result in performance deterioration. The aim of our study was to elucidate the impact of a …
result in performance deterioration. The aim of our study was to elucidate the impact of a …
Length of stay prediction with standardized hospital data from acute and emergency care using a deep neural network
Objective: Length of stay (LOS) is an important metric for the organization and scheduling of
care activities. This study sought to propose a LOS prediction method based on deep …
care activities. This study sought to propose a LOS prediction method based on deep …
Predictors of in-hospital length of stay among cardiac patients: a machine learning approach
Abstract Objective The In-hospital length of stay (LOS) is expected to increase as
cardiovascular diseases complexity increases and the population ages. This will affect …
cardiovascular diseases complexity increases and the population ages. This will affect …