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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405591/
https://www.ncbi.nlm.nih.gov/pubmed/36010907
http://dx.doi.org/10.3390/cancers14163914

Ejemplares similares