Prediction of Thyroid Disease using Machine Learning Approaches and Featurewiz Selection
Tong Lim Shiuh,
Wah Khaw Khai,
Ying Chew Xin
et al.
Abstract:Thyroid disease is one of the most disturbing hormonal disorders faced by the global population. To help the healthcare industry to diagnose the disorder rapidly and accurately, supervised machine learning algorithms and feature selection were introduced to play an essential role in predicting whether a patient has developed thyroid disease from his/her various characteristics. Therefore, in this work, a new feature selection library was introduced, which was the Featurewiz in the Python library. The goals wer… Show more
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