“The Use Of Artificial Intelligence Algorithms In Diagnostic Of Urinary Tract Infections" - Info and Reading Options
By Natalia Goździkiewicz, Danuta Zwolińska and Dorota Polak-Jonkisz
““The Use Of Artificial Intelligence Algorithms In Diagnostic Of Urinary Tract Infections"” Metadata:
- Title: ➤ “The Use Of Artificial Intelligence Algorithms In Diagnostic Of Urinary Tract Infections"
- Authors: Natalia GoździkiewiczDanuta ZwolińskaDorota Polak-Jonkisz
Edition Identifiers:
- Internet Archive ID: osf-registrations-qyxf9-v1
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"“The Use Of Artificial Intelligence Algorithms In Diagnostic Of Urinary Tract Infections"" Description:
The Internet Archive:
Urinary tract infections (UTIs) are among the most common infections occurring across all aged groups. UTI is well known cause of acute morbidity and chronic medical conditions. Current diagnostic methods of UTI remain sub-optimal. Development of better diagnostic tools for UTI is essential for improving treatment and to reduce morbidity. Artificial intelligence (AI) is defined as the science of computers where they have an ability to perform tasks commonly associated with intelligent beings. The objective of this study is to analyze current views of attempts to applying artificial intelligence techniques in everyday practice as well as find promising methods to diagnose urinary tract infections in most efficient ways.
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"“The Use Of Artificial Intelligence Algorithms In Diagnostic Of Urinary Tract Infections"" is available for download from The Internet Archive in "data" format, the size of the file-s is: 0.07 Mbs, and the file-s went public at Sun Apr 03 2022.
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- Source: Internet Archive
- All Files are Available: Yes
- Number of Files: 5
- Number of Available Files: 5
- Added Date: 2022-04-03 06:00:44
- Scanner: Internet Archive Python library 1.9.9
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