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The CT data obtained during t 1 and t 2 are aligned via the proposed registration algorithm (steps A and B) to the CT images acquired at t 3. The resulting DF are then applied to the corresponding PET images to yield co-registered longitudinal PET data (steps C and D).
What stands out from the results in Table1, especially from the CD, is that the opto-electronic noise model (3) is highlighted in the corrected data (Steps 2 and 3), while it is not evident in the raw data (Step 1), apart from the blue band.
The 'working' clone is used to save the updated data (steps 10 and 11 in the workflow).
The analysis workflow ends with a Processed Data step with a form that requires annotation of a previous intermediate or raw data steps.
These criteria, which are also relevant to QIR, include usefulness of knowledge, methods, fair appropriate selection of participants (or data), steps to maximize benefit and minimize risk, respect for rights of individuals, communities and populations, and informed consent.
Data requests that relied on post-coordinated clinical concepts, aggregate values of clinical findings, or temporal conditions in their inclusion/exclusion criteria could not be fulfilled using the i2b2 hive alone, and required one or more intermediate data steps in the form of pre- or post-processing, modifications to the hive metadata, etc.
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We thus went on to the next step: understanding the data (Step 2).
First, the existing architecture implementation has been extended for acquisition of new empirical data (step 3).
To select test cases, virtual resources structure template information (step 2), and software environmental data (step 3) are used.
In mining the data (Step 4), we applied a support vector machine (SVM) to classify the respondents.
So perhaps, as the financial risks of storing and handling user data step up, we'll start to see more data breaches disclosed promptly.
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