Enhanced diagnosing patients suspected of sarcoidosis using a hybrid support vector regression model with bald eagle and chimp optimizers

Enhanced diagnosing patients suspected of sarcoidosis using a hybrid support vector regression model with bald eagle and chimp optimizers

Searching for a reliable indicator of treatment response in sarcoidosis remains a challenge. The use of the soluble interleukin 2 receptor (sIL-2R) as a measure of disease activity has been proposed by researchers. A machine learning model was aimed to be developed in this study to predict sIL-2R le...

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Bibliographic Details
Main Authors: Guogang Xie, Hani Attar, Ayat Alrosan, Sally Mohammed Farghaly Abdelaliem, Amany Anwar Saeed Alabdullah, Mohanad Deif
Format: Article
Language:English
Published: PeerJ Inc. 2024-12-01
Series:PeerJ Computer Science
Subjects:
Sarcoidosis
Bald eagle search
Soluble IL-2 receptor
Angiotensin converting enzyme
Chimp Optimizer
Machine learing
Online Access:https://peerj.com/articles/cs-2455.pdf
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