Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/53033
Title: Machine learning algorithms for bed management
Authors: Wong, Yong Sheng.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2013
Abstract: Singapore’s aging population has rapidly increased over the years and the number of patients admitted into local hospitals keeps increasing. Through this, there will be a huge strain on hospital resources. Hospital length of stay (LOS) is used as a key indicator of hospital management because of its relationship to the amount of resource consumed. By enabling to identify trends of LOS, hospitals are able to better plan resources for future needs. In this report, coxian phase type distribution is used to help analyse the trend of LOS. By fitting the dataset to the distribution model, a growing trend can be discovered in the proportion of patients from a hospital in Singapore.
URI: http://hdl.handle.net/10356/53033
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
e4070.pdf
  Restricted Access
1.51 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.