Recursion Enhanced Random Forest With an Improved Linear Model (RERF-ILM) for Heart Disease Detection on the Internet of Medical Things Platform-Reference-Cited by-同舟云学术

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Recursion Enhanced Random Forest With an Improved Linear Model (RERF-ILM) for Heart Disease Detection on the Internet of Medical Things Platform

Published:2020 Issue: Volume:8 Page:59247-59256
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Guo Chunyan^ORCID,Zhang Jiabing^ORCID,Liu Yang^ORCID,Xie Yaying^ORCID,Han Zhiqiang^ORCID,Yu Jianshe^ORCID

Funder

Inner Mongolia Medical University through the “One Million Yuan Project of Science and Technology”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09037283.pdf?arnumber=9037283

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2. MA-LSTMNet: AN EFFICIENT MULTISCALE ATTENTION LSTMNet-BASED HEART DISEASE PREDICTION FRAMEWORK WITH IoT DEVICES INCORPORATING HYBRID RAT SWARM-RED DEER ALGORITHM;Biomedical Engineering: Applications, Basis and Communications;2024-08

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4. Deep neural network model for enhancing disease prediction using auto encoder based broad learning;SLAS Technology;2024-06

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