Efficient thyroid disorder identification with weighted voting ensemble of super learners by using adaptive synthetic sampling technique

Efficient thyroid disorder identification with weighted voting ensemble of super learners by using adaptive synthetic sampling technique

There are millions of people suffering from thyroid disease all over the world. For thyroid cancer to be effectively treated and managed, a correct diagnosis is necessary. In this article, we suggest an innovative approach for diagnosing thyroid disease that combines an adaptive synthetic sampling m...

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Bibliographic Details
Main Authors: Noor Afshan, Zohaib Mushtaq, Faten S. Alamri, Muhammad Farrukh Qureshi, Nabeel Ahmed Khan, Imran Siddique
Format: Article
Language:English
Published: AIMS Press 2023-08-01
Series:AIMS Mathematics
Subjects:
thyroid cancer
cancer detection
hypothyroid
machine learning
super learners
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20231238?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.20231238?viewType=HTML

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