AIMC Topic: Fever of Unknown Origin

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Enhancing fever of unknown origin diagnosis: machine learning approaches to predict metagenomic next-generation sequencing positivity.

Frontiers in cellular and infection microbiology Apr 15, 2025
OBJECTIVE: Metagenomic next-generation sequencing (mNGS) can potentially detect various pathogenic microorganisms without bias to improve the diagnostic rate of fever of unknown origin (FUO), but there are no effective methods to predict mNGS-positiv...
Humans Machine Learning Algorithms Female Aged Adult Male Middle Aged High-Throughput Nucleotide Sequencing Metagenomics Fever of Unknown Origin
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A Pathological Diagnosis Method for Fever of Unknown Origin Based on Multipath Hierarchical Classification: Model Design and Validation.

JMIR formative research Dec 9, 2024
BACKGROUND: Fever of unknown origin (FUO) is a significant challenge for the medical community due to its association with a wide range of diseases, the complexity of diagnosis, and the likelihood of misdiagnosis. Machine learning can extract valuabl...
Humans Machine Learning Algorithms Female Male China Fever of Unknown Origin
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