2024
DOI: 10.1515/cmb-2023-0124
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On building machine learning models for medical dataset with correlated features

Debismita Nayak,
Sai Lakshmi Radhika Tantravahi

Abstract: This work builds machine learning models for the dataset generated using a numerical model developed on an idealized human artery. The model has been constructed accounting for varying blood characteristics as it flows through arteries with variable vascular properties, and it is applied to simulate blood flow in the femoral and its continued artery. For this purpose, we designed a pipeline model consisting of three components to include the major segments of the femoral artery: CFA, the common femoral artery … Show more

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