Pre-assessment of machine learning approaches for patient length of stay prediction

Pre-assessment of machine learning approaches for patient length of stay prediction

Patient length of stay (LOS) in ICU and hospital’s general care unit is one of the important indicators that is widely measured and benchmarked to improve the quality and efficiency of patient care. There are many studies both on statistical testing of the LOS outcome to determine factors associated...

Full description

Saved in:
Bibliographic Details
Main Authors: Mahmud, Farhanahani, Md. Khudzari, Ahmad Zahran, Cheong, Ping Pau, Ramli, Mohd. Faizal, Jaffar, Norfazlina, Gaaffar, Intan Fariza
Format: Book Section
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
Q Science (General)
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/102209/
http://dx.doi.org/10.1007/978-981-16-8903-1_32
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia

Internet

http://eprints.utm.my/id/eprint/102209/
http://dx.doi.org/10.1007/978-981-16-8903-1_32

Similar Items