Pattern Recognition Techniques Applied to Biomedical Problems (eBook)

Martha Refugio Ortiz-Posadas (Herausgeber)

eBook Download: PDF

2020 | 1st ed. 2020
X, 221 Seiten
Springer International Publishing (Verlag)
978-3-030-38021-2 (ISBN)

Infos

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.

Martha Refugio Ortiz-Posadas is a Professor at the Electrical Engineering Department, Universidad Autónoma Metropolitana, Iztapalapa, Mexico.

Produkt-Details

• Erscheint lt. Verlag: 29.2.2020
• Reihe/Serie: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
• Reihe/Serie: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
• Zusatzinfo: X, 221 p. 68 illus., 46 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Schlagworte: Biosignal processing • Clinical Engineering • Image Processing • knowledge management • Knowledge Representation • Mathematical Biology • Mathematical imaging • pattern recognition • Visualization
• ISBN-10: 3-030-38021-1 / 3030380211
• ISBN-13: 978-3-030-38021-2 / 9783030380212