Identifying Key Factors in Right Ventricular Involvement in Ischaemic and Non-ischaemic Cardiomyopathy
文献类型: 会议论文
第一作者: Carlos Barroso-Moreno
作者: Carlos Barroso-Moreno 1 ; Juan Jose Beunza Nuin 1 ; Hector Espinos Morato 2 ; Enrique Puertas 3 ; David Moratal 4 ; Jose Vicente Monmeneu 5 ; Maria P. Lopez-Lereu 5 ;
作者机构: 1.Faculty of Biomedical and Health Sciences Universidad Europea de Madrid
2.i3M Molecular Imaging Universidad Europea de Valencia
3.School of Architecture, Engineering and Design Universidad Europea de Madrid
4.Center for Biomaterials and Tissue Engineering Universitat Politecnica de Valencia
5.Cardiac Magnetic Resonance Exploraciones Radiologicas Especiales (ERESA)
关键词: Machine learning;Right ventricular involvement;Pulmonary vascular resistance;Cardiomyopathy
会议名称: International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing
主办单位:
页码: 1-8
摘要: Cardiomyopathy is a disease of the heart muscle that makes it harder for the heart to pump blood. Previous studies have focused on the left ventricle, but in recent years the relevance of the right ventricle has been the focus of current research. The aim is to determine those clinical and cardiac parameters that influence right ventricular involvement in ischaemic and non-ischaemic cardiomyopathy. The used database is composed of 56,447 subjects collected from 2008 to 2020 by ASCIRES Biomedical Group. The methodology is divided into two blocks: in the clinical aspect, decision trees are used to gain interpretability and in the technical aspect, Machine Learning (ML) is used for a greater degree of prediction. The results show the influence of the difference in aortic artery beat volume and vascular pulmonary volume as key factors, reaching an Area Under the Curve (AUC) of 92.3% using RapidMiner tool with decision trees algorithm. The conclusions demonstrate the ability to identify clinical variables of right ventricular involvement and consequently reduce the number of diagnostic tests and associated times in a situation of cardiomyopathy.
分类号: tp39-53
- 相关文献
[1]Porcine skeletal muscle differentially expressed gene CMYA1: isolation, characterization, mapping, expression and association analysis with carcass traits. Xu, X. L.,Xu, X. W.,Pan, P. W.,Yu, M.,Liu, B.,Xu, X. L.,Xu, X. W.,Pan, P. W.,Yu, M.,Liu, B.,Li, K.,Jiang, Z. H.,Rothschild, M. F.,Rothschild, M. F..
[2]Using Machine Learning in Environmental Tax Reform Assessment for Sustainable Development: A Case Study of Hubei Province, China. Zheng, Yinger,Zheng, Yinger,Zheng, Haixia,Zheng, Haixia,Ye, Xinyue. 2016
[3]Determination of internal qualities of Newhall navel oranges based on NIR spectroscopy using machine learning. Liu, Cong,Yang, Simon X.,Liu, Cong,Deng, Lie.
[4]Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs. Yin, He,Pflugmacher, Dirk,Hostert, Patrick,Li, Ang,Li, Zhengguo,Hostert, Patrick. 2018
[5]A comparative study for least angle regression on NIR spectra analysis to determine internal qualities of navel oranges. Liu, Cong,Yang, Simon X.,Liu, Cong,Deng, Lie. 2015
[6]Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis. Luis Miguel Nunez,Margarida Julia-Sape,Enrique Romero,Carles Arus,Alfredo Vellido,Ana Paula Candiota. 2020
[7]Biomass Distribution Characteristics of Picea Schrenkiana Var.Tianschanica By Integrating Ordinary Kriging and Machine Learning. Chaoyong Cai,Fantao Kong,Jifang Liu,Wei Sun,Shanshan Cao. 2024
[8]UNSUPERVISED LEARNING OF CONTEXTUAL INFORMATION IN MULTIPLEX IMMUNOFLUORESCENCE TISSUE CYTOMETRY. Daniel Jimenez-Sanchez,Mikel Ariz,Carlos Ortiz-de-Solorzano. 2020
[9]Long Image Time Series for Crop Extraction Based on the Automatically Generated Samples Algorithm. Nan Jia,Yinshuai Li,Andrés Vi?a,Jie Cheng,Yue Dou,Qian Song,Liuyue He,Jianguo Liu. 2023
[10]ENSEMBLE DEEP LEARNING FOR CLASSIFICATION OF POLLUTION PEAKS. PHUONG N. CHAU,RASA ZALAKEVICIUTE,YVES RYBARCZYK. 2022
[11]Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behaviour. Chao Bian,Shehroz S. Khan,Alex Mihailidis. 2018
[12]Comparison of Newton’s and Broyden’s Method as Nonlinear Solver in the Implementation of MFV-robustified Linear Regression. Ferenc Tolner,Balázs Barta,Gy?rgy Eigner. 2022
[13]Wordle User Prediction and Analysis Based on SARIMA Algorithm, LSTM Recurrent Neural Network, and XGBoost Model. Muhao Shi,Yilong Huang,Lejian Zhang,Zetong Jin,Yuhan Zhang. 2024
[14]Study of Machine Learning Based Rice Breeding Decision Support Methods and Technologies. Yun-peng Cui,Jian Wang,Shi-hong Liu,En-ping Liu,Hai-qing Liu. 2019
作者其他论文 更多>>
-
A Software Tool for the Measurement of the Aortic Annulus Area by Means of Computed Tomography Image Analysis for the Planning of Transcatheter Aortic Valve Replacement (TAVR)
作者:Gloria Campos Hervás;Agustín Fernández Cisnal;Sergio García-Blas;Gema Mi?ana;Ernesto Valero;Juan Sanchis;David Moratal
关键词:Computed tomography;Volume measurement;Morphology;Valves;Planning;Software measurement;Software tools
-
Breast Cancer Diagnosis Using Texture and Shape Features in MRI
作者:Alicia M. Maceira;David Moratal;Jose Manuel Santabárbara;Pilar Castellote-Huguet;Silvia Ruiz-Espa?a;Cristián Galán-Auge
关键词:Support vector machines;Three-dimensional displays;Breast tumors;Ultrasonic imaging;Shape;Biomarkers;Feature extraction
-
Deep Learning Segmentation of Lower Extremities Radiographs for an Automatic Leg Length Discrepancy Measurement
作者:Blanca Sastre-García;Manuel Pérez-Pelegrí;Juan Antonio Romero Martín;José Manuel Santabárbara;David Moratal
关键词:Legged locomotion;Radiography;Deep learning;Pipelines;Manuals;Length measurement;Bones
-
Deep Learning-Based Predictive Model for Revascularization of Chronic Total Occlusions on Angiographic Imaging
作者:Sara Pérez-Martínez;Agustín Fernández-Cisnal;Manuel Pérez-Pelegrí;Sergio García-Blas;Gema Mi?ana;Ernesto Valero;Juan Sanchis;David Moratal
关键词:Deep learning;Biological system modeling;Angiography;Predictive models;Data models;Time measurement;Medical diagnostic imaging
-
Automatic Multi-Atlas Liver Segmentation and Couinaud Classification from CT Volumes
作者:Sofia Pla-Alemany;Juan Antonio Romero;Jose Manuel Santabarbara;Roberto Aliaga;Alicia M. Maceira;David Moratal
关键词:Image segmentation;Three-dimensional displays;Liver diseases;Computed tomography;Manuals;Classification algorithms;Planning
-
Skin Temperature Assessment During Lumbar Sympathetic Blocks by Infrared Thermography
作者:Mar Canada-Soriano;Jose Ignacio Priego-Quesada;Paula Rubio;Maite Bovaira;Carles Garcia-Vitoria;Rosario Salvador Palmer;Rosa Cibrian Ortiz de Anda;David Moratal
关键词:
-
Automatic Multi-Atlas Liver Segmentation and Couinaud Classification from CT Volumes
作者:Sofia Pla-Alemany;Juan Antonio Romero;Jose Manuel Santabarbara;Roberto Aliaga;Alicia M. Maceira;David Moratal
关键词:


