[HTML][HTML] Empirical method for thyroid disease classification using a machine learning approach
There are many thyroid diseases affecting people all over the world. Many diseases affect
the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid …
the thyroid gland, like hypothyroidism, hyperthyroidism, and thyroid cancer. Thyroid …
Thyroid disease prediction using selective features and machine learning techniques
Simple Summary The study presents a thyroid disease prediction approach which utilizes
random forest-based features to obtain high accuracy. The approach can obtain a 0.99 …
random forest-based features to obtain high accuracy. The approach can obtain a 0.99 …
A machine learning-based diagnosis of thyroid cancer using thyroid nodules ultrasound images
X Ma, B Xi, Y Zhang, L Zhu, X Sui, G Tian… - Current …, 2020 - ingentaconnect.com
Background: Ultrasound test is one of the routine tests for the diagnosis of thyroid cancer.
The diagnosis accuracy depends largely on the correct interpretation of ultrasound images …
The diagnosis accuracy depends largely on the correct interpretation of ultrasound images …
Performance analysis of machine learning algorithms for thyroid disease
H Abbad Ur Rehman, CY Lin, Z Mushtaq… - Arabian Journal for …, 2021 - Springer
Thyroid disease arises from an anomalous growth of thyroid tissue at the verge of the thyroid
gland. Thyroid disorderliness normally ensues when this gland releases abnormal amounts …
gland. Thyroid disorderliness normally ensues when this gland releases abnormal amounts …
Prediction of thyroid disease using decision tree ensemble method
DC Yadav, S Pal - Human-Intelligent Systems Integration, 2020 - Springer
Thyroid disease is spreading very rapidly among women after the age of 30 years.
Therefore, it is necessary to examine the thyroid dataset for predicting the disease at early …
Therefore, it is necessary to examine the thyroid dataset for predicting the disease at early …
[HTML][HTML] Machine learning on thyroid disease: a review
KS Lee, H Park - Frontiers in Bioscience-Landmark, 2022 - imrpress.com
This study reviews the recent progress of machine learning for the early diagnosis of thyroid
disease. Based on the results of this review, different machine learning methods would be …
disease. Based on the results of this review, different machine learning methods would be …
Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study
Thyroid disease is the general concept for a medical problem that prevents one's thyroid
from producing enough hormones. Thyroid disease can affect everyone—men, women …
from producing enough hormones. Thyroid disease can affect everyone—men, women …
Thyroid disease treatment prediction with machine learning approaches
The thyroid is an endocrine gland located in the anterior region of the neck: its main task is
to produce thyroid hormones, which are functional to our entire body. Its possible …
to produce thyroid hormones, which are functional to our entire body. Its possible …
Thyroid disease prediction using machine learning approaches
This paper is being written to provide a source of reference for the research scholars who
want to work in the area of prediction of thyroid disease. From the different machine learning …
want to work in the area of prediction of thyroid disease. From the different machine learning …
Early diagnosis of thyroid cancer diseases using computational intelligence techniques: A case study of a Saudi Arabian dataset
SO Olatunji, S Alotaibi, E Almutairi, Z Alrabae… - Computers in biology …, 2021 - Elsevier
In recent times, researchers have noticed that chronic diseases have become more
common. In the Kingdom of Saudi Arabia, the number of patients with thyroid cancer (TC) …
common. In the Kingdom of Saudi Arabia, the number of patients with thyroid cancer (TC) …