On building machine learning models for medical dataset with correlated features

On building machine learning models for medical dataset with correlated features

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...

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Bibliographic Details
Main Authors: Nayak Debismita, Tantravahi Sai Lakshmi Radhika
Format: Article
Language:English
Published: De Gruyter 2024-03-01
Series:Computational and Mathematical Biophysics
Subjects:
machine learning models
femoral artery
numerical model
correlated features
quantile loss function
76a05
92-10
92c10
76z99
97r40
Online Access:https://doi.org/10.1515/cmb-2023-0124

Internet

https://doi.org/10.1515/cmb-2023-0124

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