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5 RR Relative risk (RR) attributed to each data category.
These non-interfering lists are built into thread channels to train the boosting cascade for each data category.
In every independent threading channel, respective cascade recognition sub-frameworks can be trained simultaneously for each data category.
The parallel classification, i.e., the multithreading aspect, is implemented by configuring the AUC of the weak classifier for each data category into a real-value lookup list.
McSURF is implemented by configuring an area under the receiver operating characteristic (ROC) curve (AUC) of the weak SURF classifier for each data category into a real-value lookup list.
For each data category, differences among diagnostic group means were identified by one-way ANOVA.
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The recall score for each gene, chemical and disease term was calculated by comparing the list of text-mined terms with the list of curated terms for each article and in each respective data category.
Table 1 shows the types of comparisons planned for each outcome data category for the observational study.
Each of the data category elements, in turn, contains one or more child elements related to that category (see the 'Search' page online).
Each of the data category table uses a secondary key called 'study_id' to connect to the 'studies' table that contains a description of each of the studies stored in the database.
We used two methods for handling the missing data: firstly, we introduced a separate missing data category for each of the incomplete variables, and secondly, we used multiple imputation by chained equations, with the imputation model including all covariates from the main outcome model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com