[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 …
A comparison of supervised machine learning techniques for predicting short-term in-hospital length of stay among diabetic patients
Diabetes is a life-altering medical condition that affects millions of people and results in
many hospitalizations per year. Consequently, predicting the length of stay of in-hospital …
many hospitalizations per year. Consequently, predicting the length of stay of in-hospital …
Length-of-stay prediction for pediatric patients with respiratory diseases using decision tree methods
Accurate prediction of a patient's length-of-stay (LOS) in the hospital enables an efficient and
effective management of hospital beds. This paper studies LOS prediction for pediatric …
effective management of hospital beds. This paper studies LOS prediction for pediatric …
K-truss decomposition for scale-free graphs at scale in distributed memory
R Pearce, G Sanders - 2018 IEEE high performance extreme …, 2018 - ieeexplore.ieee.org
We update our prior 2017 Graph Challenge submission [11] on large scale triangle counting
in distributed memory by extending it to compute the full k-truss decomposition [6] of large …
in distributed memory by extending it to compute the full k-truss decomposition [6] of large …
Predicting length of stay across hospital departments
The length of hospital stay and its implications have a significant economic and human
impact. As a consequence, the prediction of that key parameter has been subject to previous …
impact. As a consequence, the prediction of that key parameter has been subject to previous …
Non-linear feature selection for prediction of hospital length of stay
Patient length of stay (LOS) is commonly used as an important factor for optimizing medical
resource consumption, managing hospital expenses, and improving the quality of hospital …
resource consumption, managing hospital expenses, and improving the quality of hospital …
Predicting length of stay in hospitalized patients using SSL algorithms
Length of stay in hospitalized patients is acknowledged as a critical factor for healthcare
policy planning that consequently affects the available human, technical and financial …
policy planning that consequently affects the available human, technical and financial …
A novel method for intrusion detection in relational databases
R Ramachandran, P Arya… - … Conference on Advances …, 2017 - ieeexplore.ieee.org
The importance of data security and confidentiality increases day by day, since for most
companies and organizations data remains as the most important asset. Standard database …
companies and organizations data remains as the most important asset. Standard database …
Anomaly detection in role administered relational databases—A novel method
R Ramachandran, R Nidhin… - … Conference on Advances …, 2018 - ieeexplore.ieee.org
A significant amount of attempt has been lately committed for the progress of Database
Management Systems (DBMS) that ensures high assertion and high security. Common …
Management Systems (DBMS) that ensures high assertion and high security. Common …
An efficient privacy protection in mobility social network services with novel clustering-based anonymization
A popular means of social communication for online users has become a trend with rapid
growth of social networks in the last few years. Facebook, Myspace, Twitter, LinkedIn, etc …
growth of social networks in the last few years. Facebook, Myspace, Twitter, LinkedIn, etc …