Machine learning approaches for detection of urinary tract infections
Urinary tract infections (UTI) are a common bacterial infection. Diagnosing UTI can be done through urine culturing. While precise, culturing is both time and money consuming. Flow cytometry analysis (FCA) is a different technique that can calculate different attributes in a urine sample. This is bo...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för fysik
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172082 |