RT info:eu-repo/semantics/article
T1 Thyroid disease prediction using selective features and machine learning techniques
A1 Chaganti, Rajasekhar
A1 Rustam, Furqan
A1 Torre Díez, Isabel de la
A1 Vidal Mazón, Juan Luis
A1 Rodríguez, Carmen Lili
A1 Ashraf, Imran
K1 Machine learning
K1 Aprendizaje automático
K1 Thyroid Diseases
K1 Tiroides - Enfermedades
K1 Thyroid gland - Diseases - Diagnosis
K1 Tiroides - Enfermedades - Diagnóstico
K1 Endocrinology
K1 3205.02 Endocrinología
K1 32 Ciencias Médicas
K1 3311.01 Tecnología de la Automatización
AB Simple Summary: The study presents a thyroid disease prediction approach which utilizes randomforest-based features to obtain high accuracy. The approach can obtain a 0.99 accuracy to predictten thyroid diseases.
PB MDPI
SN 2072-6694
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/61044
UL https://uvadoc.uva.es/handle/10324/61044
LA eng
NO Cancers, 2022, Vol. 14, Nº. 16, 3914
NO Producción Científica
DS UVaDOC
RD 01-jun-2024