A Machine Learning Approach for Predicting Patient's Length of Hospital Stay with Random Forest Regression-Reference-Cited by-同舟云学术

A Machine Learning Approach for Predicting Patient's Length of Hospital Stay with Random Forest Regression

Published:2022-07-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Region 10 Symposium (TENSYMP)
language:
Short-container-title:

Author:

Suha Sayma Alam¹,Sanam Tahsina Farah¹

Affiliation:

1. Institute of Appropriate Technology, Bangladesh University of Engineering and Technology,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9864330/9864331/09864447.pdf?arnumber=9864447

Reference31 articles.

1. Performance metrics (error measures) in machine learning regression, forecasting and prognostics: Properties and typology;botchkarev;ArXiv Preprint,2018

2. Compression of multilead elec-trocardiogram using principal component analysis and machine learning approach;banerjee;2018 IEEE Applied Signal Processing Conference (ASP CON),0

3. Big data analytics for healthcare industry: impact, applications, and tools

4. Machine Learning in Medicine

5. Studying variables affecting the length of stay in patients with lower limb fractures by means of Machine Learning

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EVALUATING THE PERFORMANCE OF BITCOIN PRICE FORECASTING USING MACHINE LEARNING TECHNIQUES ON HISTORICAL DATA;Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska;2024-06-30

2. Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities;AIMS Public Health;2024

3. Forecasting hospital discharges for respiratory conditions in Costa Rica using climate and pollution data;Mathematical Biosciences and Engineering;2024

4. Design and Development of an Ensemble Feature Selection and Machine Learning Based Cardiac Disease Prediction System;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

5. Enhancing PCOS Prediction: A System based on Ensemble Machine Learning Techniques;2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE);2023-11-25