Nagpal et al., 2024 - Google Patents
A hybrid feature selection approach for urinary tract infection detection and prediction in IoT-Fog environmentNagpal et al., 2024
View PDF- Document ID
- 4557477792775732313
- Author
- Nagpal A
- Sabharwal M
- Tripathi R
- Publication year
- Publication venue
- Multidisciplinary Science Journal
External Links
Snippet
Abstract Urinary Tract Infections (UTIs) are a prevalent health concern experienced by millions of individuals worldwide and have a significant impact on overall well-being. The clinical presentation of UTIs varies depending on their location and severity. Common …
- 208000019206 urinary tract infection 0 title abstract description 93
Classifications
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- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G06F19/3431—Calculating a health index for the patient, e.g. for risk assessment
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- G—PHYSICS
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- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
- G06Q50/24—Patient record management
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