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...
Main Author: | Nyman, Jesper |
---|---|
Format: | Others |
Language: | English |
Published: |
Umeå universitet, Institutionen för fysik
2020
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172082 |
Similar Items
-
A Machine Learning Approach to Fiber Delivery Lead Time Estimation
by: Lyxell, Erika
Published: (2019) -
Predicting Marketing Churn Using Machine Learning Models
by: Ahlin, Mikael, et al.
Published: (2019) -
Improving Delivery Precision with Machine Learning : Identifying key factors affecting delivery precision and utilizing them in machine learning models to identify orders at risk
by: Norén, Johannes, et al.
Published: (2021) -
A Study of Isomap Extensions and Topological Data Analysis with Applications to Financial Data
by: Nyman, Daniel
Published: (2019) -
Metagenomic Classification using Machine Learning : Applied to SARS-CoV-2 and Viruses
by: Granholm, Nicolai, et al.
Published: (2020)