Improvement of Patient Classification Using Feature Selection Applied to Bidirectional Axial Transmission-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Improvement of Patient Classification Using Feature Selection Applied to Bidirectional Axial Transmission

Published:2022-09 Issue:9 Volume:69 Page:2663-2671
ISSN:0885-3010
Container-title:IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
language:
Short-container-title:IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

Author:

Miranda Diego¹,Olivares Rodrigo¹^ORCID,Munoz Roberto²^ORCID,Minonzio Jean-Gabriel³^ORCID

Affiliation:

1. Escuela de Ingeniería Informática, Universidad de Valparaíso, Valparaíso, Chile

2. Escuela de Ingeniería Informática and the Centro de Investigación y Desarrollo en Ingeniería en Salud, Universidad de Valparaíso, Valparaíso, Chile

3. Centro de Investigación y Desarrollo en Ingeniería en Salud, Escuela de Ingeniería Informática, Universidad de Valparaíso, Valparaíso, Chile

Funder

Doctorado en Ingeniería Informática Aplicada

Universidad de Valparaíso

ANID/Fondecyt/Regular

Millennium Institute for Intelligent Healthcare: iHEALTH

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/58/9868025/09845457.pdf?arnumber=9845457

Reference51 articles.

1. Estimation of prediction error by using K-fold cross-validation

2. Features Importance in Classification Models for Colorectal Cancer Cases Phenotype in Indonesia

3. Machine Learning-Based Approaches for Prediction of Patients’ Functional Outcome and Mortality after Spontaneous Intracerebral Hemorrhage

4. Measuring the wavenumber of guided modes in waveguides with linearly varying thickness

5. Quantitative ultrasound (QUS) axial transmission method reflects anisotropy in micro-arrangement of apatite crystallites in human long bones: A study with 3-MHz-frequency ultrasound

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The reduced cortical bone density in vertebral bodies: risk for osteoporotic fractures? Insights from CT analysis;Journal of Orthopaedic Surgery and Research;2024-08-17

2. Tailored Convolutional Neural Network Applied to Fragility Fracture Classification Using Ultrasonic Guided Wave Spectrum Images;2024 IEEE UFFC Latin America Ultrasonics Symposium (LAUS);2024-05-08

3. Fragility Fracture Classification Using Axial Transmission Raw Signals and Multi-Channel Convolutional Neural Network;2024 IEEE UFFC Latin America Ultrasonics Symposium (LAUS);2024-05-08

4. Magnetic resonance imaging based on radiomics for differentiating T1-category nasopharyngeal carcinoma from nasopharyngeal lymphoid hyperplasia: a multicenter study;Japanese Journal of Radiology;2024-02-27

5. Utilization of Blockchain Technology in Artificial Intelligence–Based Healthcare Security;Signals and Communication Technology;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3