[HTML][HTML] A systematic review of the prediction of hospital length of stay: Towards a unified framework
Hospital length of stay of patients is a crucial factor for the effective planning and
management of hospital resources. There is considerable interest in predicting the LoS of …
management of hospital resources. There is considerable interest in predicting the LoS of …
Machine learning in the prediction of medical inpatient length of stay
Length of stay (LOS) estimates are important for patients, doctors and hospital
administrators. However, making accurate estimates of LOS can be difficult for medical …
administrators. However, making accurate estimates of LOS can be difficult for medical …
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 …
Artificial neural networks
S Walczak - Encyclopedia of Information Science and Technology …, 2018 - igi-global.com
This chapter examines the history of artificial neural networks research through the present
day. The components of artificial neural network architectures and both unsupervised and …
day. The components of artificial neural network architectures and both unsupervised and …
Improving fairness in the prediction of heart failure length of stay and mortality by integrating social determinants of health
Background: Machine learning (ML) approaches have been broadly applied to the
prediction of length of stay and mortality in hospitalized patients. ML may also reduce …
prediction of length of stay and mortality in hospitalized patients. ML may also reduce …
Prediction of emergency department hospital admission based on natural language processing and neural networks
Objective: To describe and compare logistic regression and neural network modeling
strategies to predict hospital admission or transfer following initial presentation to …
strategies to predict hospital admission or transfer following initial presentation to …
Hospital length of stay prediction methods: a systematic review
Objective: This systematic review sought to establish a picture of length of stay (LOS)
prediction methods based on available hospital data and study protocols designed to …
prediction methods based on available hospital data and study protocols designed to …
[HTML][HTML] Predicting length of stay in hospitals intensive care unit using general admission features
MA Abd-Elrazek, AA Eltahawi, MH Abd Elaziz… - Ain Shams Engineering …, 2021 - Elsevier
Abstract According to the World Health Organization (WHO), patient Length of Stay (LOS) in
hospitals is an important performance measurement and monitoring indicator. Prolonged …
hospitals is an important performance measurement and monitoring indicator. Prolonged …
Temporal convolutional networks and data rebalancing for clinical length of stay and mortality prediction
It is critical for hospitals to accurately predict patient length of stay (LOS) and mortality in real-
time. We evaluate temporal convolutional networks (TCNs) and data rebalancing methods to …
time. We evaluate temporal convolutional networks (TCNs) and data rebalancing methods to …
The association between nutritional status and length of hospital stay among patients with hypertension
Background: Nutritional status is related to the prognosis and length of hospital stay (LOS) of
patients with hypertension (HT). This study aimed to assess how nutritional status and body …
patients with hypertension (HT). This study aimed to assess how nutritional status and body …