Assessing Cardiovascular Risks From a Mid-Thigh CT Image: A Tree-Based Machine Learning Approach Using Radiodensitometric Distributions

Scientific Reports - United Kingdom
doi 10.1038/s41598-020-59873-9
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

A Novel Priority Based Document Image Encryption With Mixed Chaotic Systems Using Machine Learning Approach

Facta universitatis - series: Electronics and Energetics
2019English

Estimating the Gains From New Rail Transit Investment: A Machine Learning Tree Approach

Real Estate Economics
AccountingEconomicsEconometricsFinance
2018English

BGP Anomaly Detection Using Decision Tree Based Machine Learning Classifiers

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

CRISPR-based COVID-19 Surveillance Using a Genomically-Comprehensive Machine Learning Approach

2020English

Digital Image Processing Using Machine Learning

International Journal of Scientific Research in Science, Engineering and Technology
2019English

Screening for Chronic Conditions With Reproductive Factors Using a Machine Learning Based Approach

Scientific Reports
Multidisciplinary
2020English

A Nonlinear Tensor-Based Machine Learning Algorithm for Image Classification

Revue d'Intelligence Artificielle
Artificial IntelligenceSoftware
2019English

A Machine Learning and Cognition-Based Framework for Assessing Academic Performance

Advances in Multidisciplinary & Scientific Research Journal Publication
2019English

A Machine Learning Based Approach to the Segmentation of Micro CT Data in Archaeological and Evolutionary Sciences

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy