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 |
|---|---|
| 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 Staat, Daniel Erni |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2019 |
| Creating Corporation: | MedTech Symposium |
| Contributing Corporation: | Young Researchers Academy |
| Date of the Publication (Server): | 2019/07/04 |
| 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 | |
| collections: | Verlag / Universität Duisburg-Essen |
| Licence (German): |  Creative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung |
