Consequently, combining a bagging technique with computationally intensive classification algorithms and gene extraction methods may become impractical due to high computational cost.
For the purpose of predicting medical outcomes, a BNN can be considered a computer intensive classification method and, in addition, BNNs do not require explicit distributional assumption (such as normality) [ 11].
However, because the reclassification process is difficult and capital is intensive, this classification always produces some delay in the movement of these loads.
Afterward, intensive supervised classification analyses were performed to identify key SNP and/or GE markers to study subdivisions of samples from the HapMap II populations.
To explore the genetic discrepancy and sample subdivisions among the four HapMap II populations, an exploratory unsupervised analysis was performed, followed by an intensive supervised classification analysis.
We collected unit TB registers from all health facilities in the study area and included the following variables: address of the patient, name of the health facility, age, sex, smear result, TB category, TB classification, intensive phase treatment drugs, year of treatment, date of treatment started, last date of treatment, and treatment outcomes.
However, the knowledge-based model was much more time-intensive than the classification trees, and failed to classify all pixels within the study area even after multiple iterations of the model.
All parameter estimates have been exponentiated ASA American Society of Anesthesiologists physical status classification; ICU intensive care unit.
The purpose of this study is to develop a reliable tool for daily mental status classification in intensive care unit (ICU) patients for research purposes.
With specific regard to DNA microarray datasets, the method is designed to support computationally intensive model selection in classification problems in which the number of features is much larger than the number of samples.
The most computational intensive step in the classification process is the alignment.
