Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study

Thyroid disease is the general concept for a medical problem that prevents one’s thyroid from producing enough hormones. Thyroid disease can affect everyone—men, women, children, adolescents, and the elderly. Thyroid disorders are detected by blood tests, which are notoriously difficult to interpret...

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Veröffentlicht in:	PeerJ. Computer science Jg. 8; S. e898
Hauptverfasser:	Islam, Saima Sharleen, Haque, Md. Samiul, Miah, M. Saef Ullah, Sarwar, Talha Bin, Nugraha, Ramdhan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 03.03.2022 PeerJ, Inc PeerJ Inc
Schlagworte:	Accuracy Algorithms Algorithms and Analysis of Algorithms Artificial Intelligence Back propagation Bioinformatics Blood Children Classification Clustering Comparative studies Data mining Data Mining and Machine Learning Datasets Decision trees Hormones Hyperthyroidism Hypothyroidism Illnesses Machine learning Machine Learning Algorithm Machine Learning Classifier Medical examination Medical research Medicine, Experimental Microbalances Neural networks Performance evaluation Physiology Recall Risk factors Sick-euthyroid Thyroid cancer Thyroid Disease Thyroid diseases Thyroid Risk Prediction Machine Learning Algorithm Machine Learning Classifier Thyroid Risk Prediction Sick-euthyroid Thyroid Disease
ISSN:	2376-5992, 2376-5992
Online-Zugang:	Volltext
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