Influence of grey wolf optimization feature selection on gradient boosting machine learning techniques for accurate detection of liver tumor

Influence of grey wolf optimization feature selection on gradient boosting machine learning techniques for accurate detection of liver tumor

Abstract Malignant growth in liver results in liver tumor. The most common types of liver cancer are primary liver disease and secondary liver disease. Most malignant growths are benign tumors, and the condition they cause, essential liver disease, is the end result. Cancer of the liver is a potenti...

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Bibliographic Details
Main Authors: Malik Jawarneh, José Luis Arias-Gonzáles, Dattatray P. Gandhmal, Rami Qays Malik, Kantilal Pitambar Rane, Batyrkhan Omarov, Cosmena Mahapatra, Mohammad Shabaz
Format: Article
Language:English
Published: Springer 2023-06-01
Series:SN Applied Sciences
Subjects:
Grey wolf optimization
Gradient boosting
Discrete wavelet transform
K means algorithm
Online Access:https://doi.org/10.1007/s42452-023-05405-9

Internet

https://doi.org/10.1007/s42452-023-05405-9

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