Publications by authors named "Mardhiyati Mohd Yunus"
Atherosclerosis is known as the leading factor in heart disease with the highest mortality rate among the Malaysian population. Usually, the gold standard for diagnosing atherosclerosis is by using the coronary computed tomography angiography (CCTA) technique to look for plaque within the coronary artery. However, qualitative diagnosis for noncalcified atherosclerosis is vulnerable to false-positive diagnoses, as well as inconsistent reporting between observers.
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- Radiomics involves extracting quantitative features from high-dimensional data for automated disease classification, including atherosclerotic disease.
- The study analyzed 202 patients who underwent CCTA, extracting radiomic features from three coronary arteries to evaluate various AutoML models for classifying atherosclerotic plaques.
- Model 1 excelled in classifying normal and calcified plaques, while Model 2 was effective for non-calcified plaques, but Model 3 did not contribute to plaque classification; overall, the study highlighted TPOT's effectiveness in optimizing model performance with CCTA data.