Optimal feature-based multi-kernel SVM approach for thyroid disease classification
K Shankar, SK Lakshmanaprabu, D Gupta… - The journal of …, 2020 - Springer
Thyroid diseases are across the board around the world. In India as well, there is a critical
issue caused because of this disease. Different research studies estimate that around 42 …
issue caused because of this disease. Different research studies estimate that around 42 …
A three-stage expert system based on support vector machines for thyroid disease diagnosis
In this paper, we present a three-stage expert system based on a hybrid support vector
machines (SVM) approach to diagnose thyroid disease. Focusing on feature selection, the …
machines (SVM) approach to diagnose thyroid disease. Focusing on feature selection, the …
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 disorders using advanced machine learning techniques
P Duggal, S Shukla - … on Cloud Computing, Data Science & …, 2020 - ieeexplore.ieee.org
The paper presents several methods of feature selection and classification for thyroid
disease diagnosis, related to the machine learning classification problems. Two common …
disease diagnosis, related to the machine learning classification problems. Two common …
Thyroid disorder analysis using random forest classifier
Nowadays, diseases are increasing due to the lifestyle of human beings. Thyroid disorder is
also increasing. There are two types of thyroid disorder. Hyperthyroidism occurs due to the …
also increasing. There are two types of thyroid disorder. Hyperthyroidism occurs due to the …
Classification of diabetes patients using kernel based support vector machines
GA Pethunachiyar - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Diabetes mellitus (DM) is a collection of metabolic diseases that influence the human
pressure significantly worldwide. Detection of patient with diabetes at early stage is the most …
pressure significantly worldwide. Detection of patient with diabetes at early stage is the most …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
Expert system based on neural-fuzzy rules for thyroid diseases diagnosis
AT Azar, IEEE Member, AE Hassanien… - … Conference on Bio …, 2012 - Springer
The thyroid, an endocrine gland that secretes hormones in the blood, circulates its products
to all tissues of the body, where they control vital functions in every cell. Normal levels of …
to all tissues of the body, where they control vital functions in every cell. Normal levels of …
[PDF][PDF] The effect of gamma value on support vector machine performance with different kernels
Currently, the support vector machine (SVM) regarded as one of supervised machine
learning algorithm that provides analysis of data for classification and regression. This …
learning algorithm that provides analysis of data for classification and regression. This …