The decision for testing these patients was based on high eosinophil counts, a history of recent travelling to a schistosomiasis endemic region and at least one of the following symptoms: fatigue, gastro-intestinal symptoms, rash or exanthema.
Economic models can be valuable for complex decision making and for testing how sensitive a decision is to key estimates or assumptions.
This has been achieved by dividing the dataset into two parts: one for training the system to imitate real world decision-making and other for testing the system against clinical decisions regarding the diagnosis of meningitis.
This study was based on actual decisions as the use of hypothetical vignettes often used for testing decision making abilities was not found meaningful.
This was implemented in order to defer design decisions, providing improved opportunities for testing detailed material and fabrication aspects of the project.
The classification result is weighted average of all of the terminal nodes that are reached, providing the final decision: For testing, the time complexity is O(t · n · m), where n is the number of feature vectors in the testing set, m is the number of features in every feature vector, and t is the number of decision trees considered in the model.
However, whether other factors influenced either the decision for testing or the high rate of positive results was unclear, and the high positive rate may suggest this was a high-risk population at baseline.
In order to make all methods directly comparable to each other, we decided to force them to make causal orientation decisions for all tested causal interactions.
Sequential methods are developed for testing multiple hypotheses, resulting in a statistical decision for each individual test and controlling the familywise error rate and the familywise power in the strong sense.
The highest odds ratios (OR) associated with decisions to test for allergic rhinitis were obtained for symptom severity (OR, 12.11; 95%CI, 7.1 20.7) and length of symptoms (OR, 1.46; 95%CI, 0.96 2.2) with family history having significant influence in the decision.
