Infection Risk
Infection risk assessment is a crucial area of research aiming to improve diagnosis, prognosis, and prevention of infectious diseases. Current efforts focus on developing sophisticated models, including machine learning classifiers analyzing blood biomarkers and acoustic features, and agent-based simulators modeling disease spread in indoor environments. These advancements leverage diverse data sources and algorithms to enhance diagnostic accuracy, predict disease severity, and optimize infection control strategies. Ultimately, improved infection risk assessment holds significant promise for enhancing public health interventions and improving patient outcomes.
Papers
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