A hybrid of whale optimization and late acceptance hill climbing based imputation to enhance classification performance in electronic health records

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A hybrid of whale optimization and late acceptance hill climbing based imputation to enhance classification performance in electronic health records
Authors
Keywords
Missing data imputation, Whale optimization, Late acceptance hill climbing, Electronic health records, Machine learning
Journal
JOURNAL OF BIOMEDICAL INFORMATICS
Volume 94, Issue -, Pages 103190
Publisher
Elsevier BV
Online
2019-05-03
DOI
10.1016/j.jbi.2019.103190

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.