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To contribute to future flood management, this paper proposes the use of building simulations and biological models to predict the risk of microbial contamination in typical UK buildings.
Current risk assessment models to predict the risk of legionellosis from Legionella concentrations in the investigated water systems contain many uncertainties and are mainly based on culture-based enumeration.
Many models to predict the risk of adverse health events have recently been proposed in a wide range of medical fields.
To our knowledge this is the first systematic review on the use of SOFA-based models to predict the risk of mortality in ICU patients.
We used data from the training cohort to establish SVM-based models to predict the risk of postoperative distant organ metastasis that occurred within 5 years after surgery.
Since risk may vary over the course of therapy, we developed repeated measures models to predict the risk of ≥ grade 2 diarrhea and rash prior to each cycle of L-CAP.
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Potti et al [10] developed a metagene model to predict the risk of recurrence for individual patients.
Finally we combine all sub-models as an ensemble model (DPBM) to predict the risk of bone metastasis.
A similar model was developed to predict the risk of FN in any cycle.
Several models have been developed to predict the risk of mortality in community-acquired pneumonia (CAP).
To price its leases, the company uses residual risk modeling to predict the value of a vehicle over the life of a lease.
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