Online algorithm for assignment of specimens to pooled or individual testing using risk models provides a practical way to increase testing capacity.
Alexander V. AlekseyenkoPublished in: F1000Research (2023)
Keyphrases
- high accuracy
- matching algorithm
- significant improvement
- preprocessing
- learning algorithm
- experimental evaluation
- objective function
- computational cost
- input data
- optimal solution
- improved algorithm
- convergence rate
- times faster
- tree structure
- theoretical analysis
- worst case
- k means
- search space
- computational complexity
- decision making
- simulated annealing
- online learning
- probabilistic model
- optimization algorithm
- detection algorithm
- similarity measure
- classification algorithm
- neural network
- bayesian framework
- risk management