[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 …
[HTML][HTML] Predicting patient length of stay in Australian emergency departments using Data Mining
Length of Stay (LOS) is an important performance metric in Australian Emergency
Departments (EDs). Recent evidence suggests that an LOS in excess of 4 h may be …
Departments (EDs). Recent evidence suggests that an LOS in excess of 4 h may be …
[HTML][HTML] Decision support software for forecasting patient's length of stay
Length of stay of hospitalized patients is generally considered to be a significant and critical
factor for healthcare policy planning which consequently affects the hospital management …
factor for healthcare policy planning which consequently affects the hospital management …
[PDF][PDF] A systematic review of the prediction of hospital length of stay: Towards a unified framework. PLOS Digit Health 1 (4): e0000017
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 …
A new ensemble self-labeled semi-supervised algorithm
IE Livieris - Informatica, 2019 - informatica.si
As an alternative to traditional classification methods, semi-supervised learning algorithms
have become a hot topic of significant research, exploiting the knowledge hidden in the …
have become a hot topic of significant research, exploiting the knowledge hidden in the …
Hospital length of stay prediction using regression models
S Grampurohit, S Sunkad - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
The increasing healthcare costs and the availability of large volume of medical data motivate
the search for ways to increase the care efficiency. The Length of stay [LOS] of hospitalized …
the search for ways to increase the care efficiency. The Length of stay [LOS] of hospitalized …
[PDF][PDF] A New Ensemble Semi-supervised Self-labeled Algorithm.
I Livieris - Informatica (03505596), 2019 - researchgate.net
A New Ensemble Semi-supervised Self-labeled Algorithm 1 Introduction Page 1 https://doi.org/10.31449/inf.v43i2.2217
Informatica 43 (2019) 221–234 221 A New Ensemble Semi-supervised Self-labeled …
Informatica 43 (2019) 221–234 221 A New Ensemble Semi-supervised Self-labeled …
Big data applications in healthcare administration
JE Kasten - International Journal of Big Data and Analytics in …, 2020 - igi-global.com
The healthcare industry has a growing record of using big data-related technologies such as
data analytics, internet of things, and machine learning, especially in the clinical areas …
data analytics, internet of things, and machine learning, especially in the clinical areas …
A literature review on length of stay prediction for stroke patients using machine learning and statistical approaches
O Alkhatib, A Alahmar - arXiv preprint arXiv:2201.00005, 2021 - arxiv.org
Hospital length of stay (LOS) is one of the most essential healthcare metrics that reflects the
hospital quality of service and helps improve hospital scheduling and management. LOS …
hospital quality of service and helps improve hospital scheduling and management. LOS …