KNOWLEDGE-BASED PATIENT SCREENING FOR RARE AND EMERGING INFECTIOUS/PARASITIC DISEASES: A CASE STUDY OF BRUCELLOSIS AND MURINE TYPHUS

Knowledge-Based Patient Screening for Rare and Emerging Infectious/Parasitic Diseases: A Case Study of Brucellosis and Murine Typhus

Many infectious and parasitic diseases, especially those newly emerging or reemerging, present a difficult diagnostic challenge because of their obscurity and low incidence.Important clues that could lead to an initial diagnosis are often overlooked, misinterpreted, not linked to a disease, or disregarded.We constructed a computer-based decision su

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Target Search for Joint Local and High-Level Semantic Information Based on Image Preprocessing Enhancement in Indoor Low-Light Environments

In indoor low-light environments, the lack of light makes the captured images often suffer from quality degradation problems, including missing features in dark areas, noise interference, low brightness, and low contrast.Therefore, the feature extraction algorithms are unable to extract the feature information contained in the images accurately, th

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