Determining Factors Influencing Length of Stay and Predicting Length of Stay Using Data Mining in the General Surgery Department

determining factors influencing length of stay and predicting length of stay using data mining in the general surgery department

background: length of stay is one of the most important indicators in assessing hospital performance. a shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. it can lead to a greater readmission rate, better resource management, and more efficient services. objective: this study aimed to identify the factors influencing length of ho...

Factors influencing patients' length of stay.

This study was conducted to evaluate the ability of AN-DRG version 3.1 to predict variation in patients' length of stay in hospital (LOS) and identify other factors that can influence the LOS by using routinely collected hospital morbidity data. A total of 18 DRGs that comprised 4,589 episodes were analysed. Multiple regression was used to model length of stay as a function of a number of indep...

Factors influencing hospital high length of stay

Healthcare data mining : predicting inpatient length of stay

Data mining approaches have been widely applied in the field of healthcare. At the same time it is recognized that most healthcare datasets are full of missing values. In this paper we apply decision trees, Naive Bayesian classifiers and feature selection methods to a geriatric hospital dataset in order to predict inpatient length of stay, especially for the long stay patients. Index Terms NBI,...