A Non-Invasive Approach for Total Cholesterol Level Prediction Using Machine Learning-Reference-Cited by-同舟云学术

A Non-Invasive Approach for Total Cholesterol Level Prediction Using Machine Learning

Published:2022 Issue: Volume:10 Page:58566-58577
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Garcia-D'urso Nahuel¹,Climent-Perez Pau¹^ORCID,Sanchez-Sansegundo Miriam²,Zaragoza-Marti Ana³,Fuster-Guillo Andres¹^ORCID,Azorin-Lopez Jorge¹^ORCID

Affiliation:

1. Department of Computer Technology, University of Alicante, Alicante, Spain

2. Department of Health Psychology, Health Sciences Faculty, University of Alicante, Alicante, Spain

3. Department of Nursing, Health Sciences Faculty, University of Alicante, Alicante, Spain

Funder

Agencia Estatal de Investigacin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09783084.pdf?arnumber=9783084

Reference20 articles.

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3. body2vec: 3D Point Cloud Reconstruction for Precise Anthropometry with Handheld Devices

4. RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments

5. Multidimensional measurement of virtual human bodies acquired with depth sensors;fuster-guilló;Proc Int Workshop Soft Comput Models Ind Environ Appl,2020

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