Developing and evaluating a machine-learning-based algorithm to predict the incidence and severity of ARDS with continuous non-invasive parameters from ordinary monitors and ventilators.
Wenzhu WuYalin WangJunquan TangMing YuJing YuanGuang ZhangPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- learning algorithm
- machine learning
- expectation maximization
- preprocessing
- dynamic programming
- experimental evaluation
- matching algorithm
- times faster
- simulated annealing
- cost function
- improved algorithm
- parameter selection
- search space
- computational cost
- detection algorithm
- high accuracy
- optimal solution
- optimization algorithm
- parameter estimation
- segmentation algorithm
- objective function
- optimal parameters
- probabilistic model
- np hard
- parameter values
- levenberg marquardt
- tree structure
- parameter settings
- machine learning systems
- theoretical analysis
- em algorithm
- particle swarm optimization
- text classification
- linear programming
- support vector machine
- active learning
- k means
- search algorithm
- similarity measure
- feature selection