Thyroid Disease Prediction Using Selective Features and Machine Learning Techniques

Thyroid Disease Prediction Using Selective Features and Machine Learning Techniques

Thyroid disease prediction has emerged as an important task recently. Despite existing approaches for its diagnosis, often the target is binary classification, the used datasets are small-sized and results are not validated either. Predominantly, existing approaches focus on model optimization and t...

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Bibliographic Details
Main Authors: Rajasekhar Chaganti, Furqan Rustam, Isabel De La Torre Díez, Juan Luis Vidal Mazón, Carmen Lili Rodríguez, Imran Ashraf
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Cancers
Subjects:
machine learning
thyroid prediction
forward feature selection
bidirectional feature elimination
Online Access:https://www.mdpi.com/2072-6694/14/16/3914

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