Insights from a machine learning model for predicting the hospital Length of Stay (LOS) at the time of admission

Published 2017 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Insights from a machine learning model for predicting the hospital Length of Stay (LOS) at the time of admission
Authors
Keywords
Cubist decision tree, Continuous association rule mining algorithm (CARMA), Support vector machine (SVM), Decision function, Error distribution, Length of Stay (LOS)
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 78, Issue -, Pages 376-385
Publisher
Elsevier BV
Online
2017-02-17
DOI
10.1016/j.eswa.2017.02.023

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.