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Thyroid Disease Prediction Using Selective Features and Machine Learning Techniques

SIMPLE SUMMARY: The study presents a thyroid disease prediction approach which utilizes random forest-based features to obtain high accuracy. The approach can obtain a 0.99 accuracy to predict ten thyroid diseases. ABSTRACT: Thyroid disease prediction has emerged as an important task recently. Despi...

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Detalles Bibliográficos
Autores principales:	Chaganti, Rajasekhar, Rustam, Furqan, De La Torre Díez, Isabel, Mazón, Juan Luis Vidal, Rodríguez, Carmen Lili, Ashraf, Imran
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405591/ https://www.ncbi.nlm.nih.gov/pubmed/36010907 http://dx.doi.org/10.3390/cancers14163914

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