[HTML][HTML] A systematic review on artificial intelligence techniques for detecting thyroid diseases

L Aversano, ML Bernardi, M Cimitile, A Maiellaro… - PeerJ Computer …, 2023 - peerj.com
The use of artificial intelligence approaches in health-care systems has grown rapidly over
the last few years. In this context, early detection of diseases is the most common area of …

Multi-channel convolutional neural network architectures for thyroid cancer detection

X Zhang, VCS Lee, J Rong, F Liu, H Kong - Plos one, 2022 - journals.plos.org
Early detection of malignant thyroid nodules leading to patient-specific treatments can
reduce morbidity and mortality rates. Currently, thyroid specialists use medical images to …

A hybrid optimization algorithm‐based feature selection for thyroid disease classifier with rough type‐2 fuzzy support vector machine

V Sureshkumar, S Balasubramaniam, V Ravi… - Expert …, 2022 - Wiley Online Library
Thyroid hormones are essential for all the metabolic and reproductive activities with
significance to growth, and neuron development in the human body. The thyroid hormone …

Hypothyroidism prediction and detection using machine learning

HM Almahshi, EA Almasri, H Alquran… - … technology and its …, 2022 - ieeexplore.ieee.org
The world is facing an increase in the incidence of thyroid diseases, including in Jordan as
well, especially hypothyroidism. This condition can be diagnosed through blood samples to …

Binary Classification of Thyroid Using Comprehensive Set of Machine Learning Algorithms

D Sengupta, S Mondal, A Raj, A Anand - Frontiers of ICT in Healthcare …, 2023 - Springer
Binary classification of Thyroid has been observed in several manuscripts in literature. This
study also classifies the disease using twelve machine learning algorithms. The results are …

SSC: The novel self-stack ensemble model for thyroid disease prediction

S Ji - Plos one, 2024 - journals.plos.org
Thyroid disease presents a significant health risk, lowering the quality of life and increasing
treatment costs. The diagnosis of thyroid disease can be challenging, especially for …

Identifying Important Features for Clinical Diagnosis of Thyroid Disorder

S Balasubramanian, V Srinivasan… - 2022 IEEE/ACM …, 2022 - ieeexplore.ieee.org
Abnormal production of thyroid hormones in our body causes thyroid disorders such as
hypothyroidism, hyper-thyroidism, Hashimoto's disease, Graves' disease, and thyroid …

Early prediction of hypothyroidism based on feature selection and explainable artificial intelligence

CMV Cavalcante, RCB Rego - Simpósio Brasileiro de Computação …, 2024 - sol.sbc.org.br
Early and accurate diagnosis is required for adequate treatment of hypothyroidism.
However, the presence of subjectivity in the interpretation of test results presents a …

Hypothyreosis Prediction Using Feature Scaling Technique in ML

P Saraswathi, M Prabha… - … on Advances in …, 2023 - ieeexplore.ieee.org
In healthcare, early and accurate disease identification is essential for providing effective
care. This factor is essential in disorders like thyroid conditions, which tends to be …

Machine Learning Thyroid Model for Prediction System

C Nayak, D Ajalkar, JP Shinde… - … Conference on Device …, 2023 - ieeexplore.ieee.org
Deep learning and cytopathology identification have trended in recent decades. Whole slide
images (WSI) from clinic e-scanners help researchers classify slides (benign or malignant) …