[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives
MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2023 - 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 …
Machine learning framework with feature selection approaches for thyroid disease classification and associated risk factors identification
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 …
[HTML][HTML] From Antibodies to Artificial Intelligence: A Comprehensive Review of Diagnostic Challenges in Hashimoto's Thyroiditis
ND Kolanu, NA Awan, AI Butt, T Reza… - Cureus, 2024 - ncbi.nlm.nih.gov
Hashimoto's thyroiditis (HT) poses diagnostic challenges due to its diverse clinical
presentation and the intricacies of autoimmune thyroid diseases. This comprehensive …
presentation and the intricacies of autoimmune thyroid diseases. This comprehensive …
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 …
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 …
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 …
Predicting Thyroid Dysfunction Using Machine Learning Techniques
The history of the thyroid gland dates back to ancient times when it was recognized as a
structure in the neck that was important for maintaining good health. Early detection of …
structure in the neck that was important for maintaining good health. Early detection of …
Deep convolutional neural networks with genetic algorithm-based synthetic minority over-sampling technique for improved imbalanced data classification
Imbalanced data classification presents a challenge in machine learning, inducing biased
model learning. Moreover, data dimensionality poses another challenge as it highly impacts …
model learning. Moreover, data dimensionality poses another challenge as it highly impacts …
Integrating Ontology and Machine Learning for Enhanced Decision Support in Thyroid Disease Prediction
In recent years, decision support systems have emerged as valuable tools in the field of
medical diagnosis and prediction. With the increasing prevalence of thyroid diseases …
medical diagnosis and prediction. With the increasing prevalence of thyroid diseases …