Utilization of fluorescence spectroscopy and neural networks in clinical analysis
- Fluorescence topography of human urine in combination with learning algorithms can provide a variant pattern recognition method in analytical clinical chemistry and, eventually, diagnosis.
Author: | Fouad Azar, Ilya DigelORCiD |
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DOI: | https://doi.org/10.17185/duepublico/48750 |
ISBN: | 978-3-940402-22-6 |
Parent Title (English): | 3rd YRA MedTech Symposium 2019 : May 24 / 2019 / FH Aachen |
Publisher: | Universität Duisburg-Essen |
Place of publication: | Duisburg |
Editor: | Manfred StaatORCiD, Daniel Erni |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2019 |
Creating Corporation: | MedTech Symposium |
Contributing Corporation: | Young Researchers Academy |
First Page: | 40 |
Last Page: | 41 |
Link: | https://doi.org/10.17185/duepublico/48750 |
Zugriffsart: | weltweit |
Institutes: | FH Aachen / Fachbereich Medizintechnik und Technomathematik |
FH Aachen / IfB - Institut für Bioengineering | |
open_access (DINI-Set): | open_access |
collections: | Verlag / Universität Duisburg-Essen |
Licence (German): | Creative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung |