Classification Prediction of Familial Hypercholesterolemia using Ensemble-based Classifier with Feature Selection and Rebalancing Technique
Author:
Affiliation:
1. Universiti Teknologi MARA,Faculty of Computer and Mathematical Sciences,Shah Alam,Selangor,Malaysia
2. Institute for Pathology, Universiti Teknologi MARA,Laboratory and Forensic Medicine (I-PPerForM),Sungai Buloh,Selangor,Malaysia
Funder
Universiti Teknologi MARA
Universiti Teknologi MARA, Selangor, Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9952188/9952355/09952820.pdf?arnumber=9952820
Reference31 articles.
1. Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data
2. Hybrid classifiers ensemble with an undersampling scheme for liver tumor segmentation
3. A molecular genetic service for diagnosing individuals with familial hypercholesterolaemia (FH) in the United Kingdom
4. Guidelines for the Management of Familial Hypercholesterolemia
5. Diagnostic performance of various familial hypercholesterolaemia diagnostic criteria compared to Dutch lipid clinic criteria in an Asian population
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