Sentence examples for classification decision making from inspiring English sources
In this manuscript, improved outcome prediction and classification decision making have been made possible by incorporating the human interactome in an LS-SVM model, chosen among a large set of possible methods in which prior information can be incorporated in the presented manner.
Computational time for the alignment is linear to the number of samples in a heartbeat and hence the method should be efficient enough for different practical applications using morphological features for automatic classification and decision making.
The system implementation consists of various steps that begin with data generation and move to collection, aggregation, filtration, classification, preprocessing, computing and decision making.
About 95% of the erosion-status sites were correctly classified by the discriminant function, indicating that the field survey-based classification was acceptable for decision making.
The focus of this review is on implications of molecular classification for prognosis and therapeutic decision making in HCC patients.
One of the limitations is that the classification of death involves subjective decision making.
Incorrect disease severity classification may lead to faulty decision making in choosing the most appropriate treatment for the individual patient.
At the sentence level, a classification decision was made by comparison of the score assigned to the sentence with a threshold, set at the 25th percentile score for positive sentences in the training set: if the score was above the threshold, the sentence was classified as positive for data deposition.
Biological organisms perform decision making based on classification of external environmental cues at all levels from intracellular (e.g., ref (13)) to organismal and even population-wide.
For example, the Edmonton Obesity Staging System was developed to provide a more nuanced approach to weight-based classification and greater clarity in clinical decision making.
Classification algorithms are needed for biomedical decision making in clinical assignment of patients to treatment therapies based on individual risk factors and disease characteristics.
