[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives
MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2024 - Elsevier
Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …
tolerance, characterized by the formation of autoantibodies and the consequent …
An improved framework for detecting thyroid disease using filter-based feature selection and stacking ensemble
In recent years, machine learning (ML) has become a pivotal tool for predicting and
diagnosing thyroid disease. While many studies have explored the use of individual ML …
diagnosing thyroid disease. While many studies have explored the use of individual ML …
Application of machine learning for mass spectrometry-based multi-omics in thyroid diseases
Y Che, M Zhao, Y Gao, Z Zhang… - Frontiers in Molecular …, 2024 - frontiersin.org
Thyroid diseases, including functional and neoplastic diseases, bring a huge burden to
people's health. Therefore, a timely and accurate diagnosis is necessary. Mass spectrometry …
people's health. Therefore, a timely and accurate diagnosis is necessary. Mass spectrometry …
Machine learning framework with feature selection approaches for thyroid disease classification and associated risk factors identification
A Sultana, R Islam - Journal of Electrical Systems and Information …, 2023 - Springer
Thyroid disease (TD) develops when the thyroid does not generate an adequate quantity of
thyroid hormones as well as when a lump or nodule emerges due to aberrant growth of the …
thyroid hormones as well as when a lump or nodule emerges due to aberrant growth of the …
Detecting thyroid disease using optimized machine learning model based on differential evolution
Thyroid disease has been on the rise during the past few years. Owing to its importance in
metabolism, early detection of thyroid disease is a task of critical importance. Despite …
metabolism, early detection of thyroid disease is a task of critical importance. Despite …
An intelligent thyroid diagnosis system utilising multiple ensemble and explainable algorithms with medical supported attributes
The widespread impact of thyroid disease and its diagnosis is a challenging task for
healthcare experts. The conventional technique for predicting such a vital disease is …
healthcare experts. The conventional technique for predicting such a vital disease is …
Explainable artificial intelligence and machine learning algorithms for classification of thyroid disease
A common endocrine issue affecting millions globally is thyroid illness. For this ailment to be
effectively treated and managed, an early and accurate diagnosis is essential. Machine …
effectively treated and managed, an early and accurate diagnosis is essential. Machine …
Machine Learning Approaches for Early Identification of Thyroid Disease
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 …
trauma, toxins, a low-calorie diet, and intake of excess medications have a negative effect on …
Quantum intelligence in medicine: Empowering thyroid disease prediction through advanced machine learning
M Sha - IET Quantum Communication, 2024 - Wiley Online Library
The medical information system is rich in datasets, but no intelligent systems can easily
analyse the disease. Recently, ML (Machine Learning)‐based algorithms have acted as a …
analyse the disease. Recently, ML (Machine Learning)‐based algorithms have acted as a …
An explainable artificial intelligence framework for the predictive analysis of hypo and hyper thyroidism using machine learning algorithms
The thyroid gland is the crucial organ in the human body, secreting two hormones that help
to regulate the human body's metabolism. Thyroid disease is a severe medical complaint …
to regulate the human body's metabolism. Thyroid disease is a severe medical complaint …