Covers various pattern recognition techniques with applications in biomedicine
Measures how efficient such methods are for processing medical information
Offers computational tools and methodologies as auxiliary criteria in diagnosis and treatment strategies
Martha Refugio Ortiz-Posadas is a Professor at the Electrical Engineering Department, Universidad Autónoma Metropolitana, Iztapalapa, Mexico.
This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on—but not limited to—pattern recognition modeling of biomedical signals and images.
Multidisciplinary by definition, the book´s topic blends computing, mathematics and other technical sciences towards the development of computational tools and methodologies that can be applied to pattern recognition processes.
In this work, the efficacy of such methods and techniques for processing medical information is analyzed and compared, and auxiliary criteria for determining the correct diagnosis and treatment strategies are recommended and applied.
Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals with a special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.
PROPOSED LIST OF CONTRIBUTORS and Table of CONTENT
1. Castañeda-Villa, Norma: Clustering for discontinuous sounds imaging
Universidad Autónoma Metropolitana Iztapalapa. Mexico. Email: ncv@xanum.uam.mx
2. Curilem-Saldías, Millaray: Seismic signals using neural networks and genetic algorithms
Universidad de la Frontera. Chile. Email: millaray.curilem@ufrontera.cl
3. Díaz-Villegas, Jorge: Cost Estimation Method for web-based software
Universidad de La Frontera. Chile. jorge.diaz@ufrontera.cl
4. Figueroa-Saavedra, Rodolfo: A Methodology and Ionizing Radiation Device that Uses Metallic Nanoparticles for the Detection and Simultaneous Treatment of Cancer
Universidad de La Frontera. Chile. Email: rodolfo.figueroa@ufrontera.cl
5. Gentiletti, Gabriel: Brain-computer interface for simulated wheelchair
Universidad Nacional de Entre Ríos. Argentina. Email: gentiletti@gmail.com
6. Jiménez-González, Aída: ICA algorithm for auditory potentials extraction
Universidad Autónoma Metropolitana Iztapalapa. Mexico. Email: aidaj@xanum.uam.mx
7. Ortiz-Posadas, Martha: Computational tool for cleft palate rehabilitation
Universidad Autónoma Metropolitana Iztapalapa. Mexico. Email: posa@xanum.uam.mx
8. Rosales-López, Alfonso: Pattern recognition for estimating the access to imaging services in public health system.
Universidad Federal de Río de Janeiro. Brazil. Email: arosales.cr@gmail.com
9. Ruíz-Shucloper, José: Mining patterns using similarities
Universidad de las Ciencias Informáticas. Cuba. Email: jshulcloper@uci.cu
10. Simini, Franco: Knee Kinematics Assessment by videofluoroscopy
Universidad de la República. Uruguay. Email: simini@fing.edu.uy
11. Valdés-Cristerna, Raquel: Radial-based network and active contour model for brain MRI segmentation.
Universidad Autónoma Metropolitana Iztapalapa. Mexico. Email: ravc@xanum.uam.mx
12. Vega-Alvarado, Leticia: Measuring mixing times in stirred vessels
Universidad Nacional Autónoma de México. Mexico. Email: leticia.vega@ccadet.unam.mx
13. Yañez-Suárez, Oscar: Data-driven brain MRI segmentation
This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on-but not limited to-pattern recognition modeling of biomedical signals and images.
This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on-but not limited to-pattern recognition modeling of biomedical signals and images.
Multidisciplinary by definition, the book's topic blends computing, mathematics and other technical sciences towards the development of computational tools and methodologies that can be applied to pattern recognition processes.
In this work, the efficacy of such methods and techniques for processing medical information is analyzed and compared, and auxiliary criteria for determining the correct diagnosis and treatment strategies are recommended and applied.
Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals witha special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.
On the classification of independent components for biomedical signals de-noising: two study cases.- Pattern recognition applied to the analysis of genomic data and its association to diseases.- Image analysis method for the detection of Chagas parasite in blood image.- Monitoring and evaluating public health interventions.- Recognition of nausea patterns in multichannel electrogastrography.- Random Forest for Prediction of HIV Drug Resistance.- Analysis of cardiac contraction patterns.- Pattern Recognition of Chronic Patients Home Life and Out Patient Visits to Automate Follow up and Clinical Management.- Pattern recognition in medical equipment replacement at hospitals.
Martha Refugio Ortiz-Posadas is a Professor at the Electrical Engineering Department, Universidad Autónoma Metropolitana, Iztapalapa, Mexico.
Über den Autor
Martha Refugio Ortiz-Posadas is a Professor at the Electrical Engineering Department, Universidad Autónoma Metropolitana, Iztapalapa, Mexico.
Inhaltsverzeichnis
On the classification of independent components for biomedical signals de-noising: two study cases.- Pattern recognition applied to the analysis of genomic data and its association to diseases.- Image analysis method for the detection of Chagas parasite in blood image.- Monitoring and evaluating public health interventions.- Recognition of nausea patterns in multichannel electrogastrography.- Random Forest for Prediction of HIV Drug Resistance.- Analysis of cardiac contraction patterns.- Pattern Recognition of Chronic Patients Home Life and Out Patient Visits to Automate Follow up and Clinical Management.- Pattern recognition in medical equipment replacement at hospitals.
Klappentext
This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on¿but not limited töpattern recognition modeling of biomedical signals and images.
Multidisciplinary by definition, the book¿s topic blends computing, mathematics and other technical sciences towards the development of computational tools and methodologies that can be applied to pattern recognition processes.
In this work, the efficacy of such methods and techniques for processing medical information is analyzed and compared, and auxiliary criteria for determining the correct diagnosis and treatment strategies are recommended and applied.
Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals witha special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.
Covers various pattern recognition techniques with applications in biomedicine
Measures how efficient such methods are for processing medical information
Offers computational tools and methodologies as auxiliary criteria in diagnosis and treatment strategies
