Classifying Familial Hypercholesterolaemia: A Tree-based Machine Learning Approach

Classifying Familial Hypercholesterolaemia: A Tree-based Machine Learning Approach

Familial hypercholesterolaemia is the most common and serious form of inherited hyperlipidaemia. It has an autosomal dominant mode of inheritance, and is characterised by severely elevated low-density lipoprotein cholesterol levels. Familial hypercholesterolaemia is an important cause of premature c...

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Bibliographic Details
Main Authors: Chua, Y.-A (Author), Edward, J. (Author), Kasim, N.A.M (Author), Nawawi, H. (Author), Onn, M. (Author), Rosli, M.M (Author)
Format: Article
Language:English
Published: Science and Information Organization 2021
Series:International Journal of Advanced Computer Science and Applications
Subjects:
Adaptive boosting
Cardiology
Cholesterol
Cholesterol levels
Classification (of information)
Coronary heart disease
Decision trees
Diagnosis
Diseases
Familial hypercholesterolaemia
Familial hypercholesterolemia
Heart
Lipoprotein cholesterol
Lipoproteins
Low density lipoproteins
Machine learning
machine learning algorithms
Machine learning algorithms
Performance
predicting FH
Predicting FH
Tree-based
tree-based classifier
Tree-based classifier
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