Frontiers | Comparison of Four Machine Learning Techniques for Prediction of Intensive Care Unit Length of Stay in Heart Transplantation Patients

Skip to main content

Total views
Downloads
Citations

View article impact

View altmetric score

Edited by

Qingpeng Zhang

City University of Hong Kong, Hong Kong, SAR China

Reviewed by

Jiandong ZHOU

Division of Health Sciences, Warwick Medical School, Faculty of Science, Engineering and Medicine, University of Warwick, United Kingdom

Yu Cheng Hsu

City University of Hong Kong, Hong Kong, SAR China

Check for updates

ORIGINAL RESEARCH article

Front. Cardiovasc. Med., 21 June 2022
Sec. Heart Failure and Transplantation
Volume 9 - 2022 | https://doi.org/10.3389/fcvm.2022.863642