Optimal feature-based multi-kernel SVM approach for thyroid disease classification
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 …
Role of soft computing approaches in healthcare domain: a mini review
In the present era, soft computing approaches play a vital role in solving the different kinds of
problems and provide promising solutions. Due to popularity of soft computing approaches …
problems and provide promising solutions. Due to popularity of soft computing approaches …
LightGBM empowered by whale optimization for thyroid disease detection
Thyroid disorder is a significant source of formulation in medical classification and
prognosis, with onset being a challenging assumption in medical study. The thyroid gland is …
prognosis, with onset being a challenging assumption in medical study. The thyroid gland is …
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 …
Increasing the prediction accuracy for thyroid disease: a step towards better health for society
A healthy life is essential for a happy society, however it is a fact that seemingly invisible
diseases plague our families and people suffer. The thyroid disease falls in such a category …
diseases plague our families and people suffer. The thyroid disease falls in such a category …
Hybrid missing value imputation algorithms using fuzzy c-means and vaguely quantified rough set
In real cases, missing values tend to contain meaningful information that should be acquired
or should be analyzed before the incomplete dataset is used for machine learning tasks. In …
or should be analyzed before the incomplete dataset is used for machine learning tasks. In …
Future of machine learning (ML) and deep learning (DL) in healthcare monitoring system
K Kumar, K Chaudhury… - … learning algorithms for …, 2022 - Wiley Online Library
Prediction and early detection of diseases have been an important field of research for a
long time to diagnose any disease. Machine‐learning (ML) algorithms have proved quite …
long time to diagnose any disease. Machine‐learning (ML) algorithms have proved quite …
Effective voting ensemble of homogenous ensembling with multiple attribute-selection approaches for improved identification of thyroid disorder
Thyroid disease is characterized by abnormal development of glandular tissue on the
periphery of the thyroid gland. Thyroid disease occurs when this gland produces an …
periphery of the thyroid gland. Thyroid disease occurs when this gland produces an …
Effective K-nearest neighbor algorithms performance analysis of thyroid disease
H Abbad Ur Rehman, CY Lin… - Journal of the Chinese …, 2021 - Taylor & Francis
Thyroid is an essential gland as its hormones are controlling the metabolism system of the
human body. An abnormal amount of thyroid gland secretion causes two major types of …
human body. An abnormal amount of thyroid gland secretion causes two major types of …