Non-Invasive Assessment of Lung Water Content Using Chest Patch RF Sensors: A Computer Study Using NIH Patients CT Scan Database and AI Classification Algorithms-Reference-Cited by-同舟云学术

Non-Invasive Assessment of Lung Water Content Using Chest Patch RF Sensors: A Computer Study Using NIH Patients CT Scan Database and AI Classification Algorithms

Published:2023 Issue: Volume:11 Page:13058-13066
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Leong Christopher¹,Xiao Yuanzhang¹^ORCID,Yun Zhengqing¹^ORCID,Iskander Magdy F.¹^ORCID

Affiliation:

1. Hawaii Advanced Wireless Technologies Institute, University of Hawai’i at Mānoa, Honolulu, HI, USA

Funder

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/6287639/10005208/10024273-aam.pdf

Reference24 articles.

1. The use of the area under the ROC curve in the evaluation of machine learning algorithms

2. A Microwave Method for Measuring Changes in Lung Water Content: Numerical Simulation

3. Cluster-then-classify methodology for the identification of pain episodes in chronic diseases

4. Support-vector networks

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