Prediction of Thyroid Classes Using Feature Selection of AEHOA Based CNN Model for Healthy Lifestyle

Prediction of Thyroid Classes Using Feature Selection of AEHOA Based CNN Model for Healthy Lifestyle

People with underactive thyroids frequently endure severe symptoms. Correct classification and machine learning substantially improve thyroid disease diagnosis. This precise classification will impact the timely delivery of care to the patients. Although diagnostic techniques exist, they frequently...

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Bibliographic Details
Main Authors: Rachappa Jopate, Piyush Kumar Pareek, DivyaJyothi M. G, Ariam Saleh Zuwayid Juma Al Hasani
Format: Article
Language:English
Published: University of Baghdad, College of Science for Women 2024-05-01
Series:مجلة بغداد للعلوم
Subjects:
Adaptive Elephant Herd Optimization Algorithm, Convolutional Neural Network, Hyperthyroidism Imbalanced data, Machine Learning, Synthetic Minority Over-sampling Technique
Online Access:https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/10547
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https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/10547

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