LightGBM empowered by whale optimization for thyroid disease detection

BB Sinha, M Ahsan, R Dhanalakshmi - International Journal of Information …, 2023 - Springer
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 …

Thyroid detection and classification using dnn based on hybrid meta-heuristic and lstm technique

E Mohan, P Saravanan, B Natarajan, SVA Kumer… - IEEE …, 2023 - ieeexplore.ieee.org
In the field of medical research, prediction, as well as diagnosis of thyroid disease, is a major
cause that is a challenging onset axiom. In metabolism regulation, thyroid hormone …

An IoT and deep learning-based smart healthcare framework for thyroid cancer detection

R Sharma, GK Mahanti, C Chakraborty… - ACM Transactions on …, 2023 - dl.acm.org
A world of healthcare possibilities has been opened with the development of the Internet of
Medical Things and related machine learning, deep learning, and artificial intelligence …

Machine Learning Approaches for Early Identification of Thyroid Disease

A Saini, K Guleria, S Sharma - 2023 World Conference on …, 2023 - ieeexplore.ieee.org
Thyroid disease is becoming increasingly common around the world. Tension, infection,
trauma, toxins, a low-calorie diet, and intake of excess medications have a negative effect on …

Computer aided diagnosis of thyroid disease using machine learning algorithms

MAAR Asif, MM Nishat, F Faisal… - … on electrical and …, 2020 - ieeexplore.ieee.org
This paper presents a comprehensive study of investigating the performance of different
machine learning algorithms in the diagnosis of thyroid disease. Detecting thyroid disease at …

Predictive analysis for thyroid diseases diagnosis using machine learning

ZJ Peya, MKN Chumki… - … International conference on …, 2021 - ieeexplore.ieee.org
Thyroid disease is a condition in which the thyroid gland does not produce enough
hormones. The symptoms of thyroid disease vary depending on the type (hypothyroidism …

Deep multilayer neural network with weights optimization-based genetic algorithm for predicting hypothyroid disease

FZ El-Hassani, F Fatih, NE Joudar… - Arabian Journal for …, 2023 - Springer
Accurate diagnosis and effective treatment of thyroid conditions, such as hypothyroidism and
hyperthyroidism, are crucial due to their wide-ranging symptoms and consequences …

Optimized building of machine learning technique for thyroid monitoring and analysis

KB Raju, PK Lakineni, KS Indrani… - … on Smart Electronics …, 2021 - ieeexplore.ieee.org
Many people now a days are suffering from a thyroid disorder. Hence, the earlier detection
of thyroid becomes very important in the medical field to cure the patient. Thyroid disorder …

Prediction of Thyroid Disease using Machine Learning Approaches and Featurewiz Selection

TL Shiuh, WK Khai, YC Xin, CY Wai - … , Electronic and Computer …, 2023 - jtec.utem.edu.my
Thyroid disease is one of the most disturbing hormonal disorders faced by the global
population. To help the healthcare industry to diagnose the disorder rapidly and accurately …

Thyroid prediction using machine learning techniques

S Raisinghani, R Shamdasani, M Motwani… - Advances in Computing …, 2019 - Springer
Thyroid is a critical medical condition which can be caused either due to increased levels of
TSH (Thyroid Stimulating Organ) or due to some infection in thyroid organs itself. The …