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Electronic capture of both investigator-prescribed and patient-administered insulin doses, along with tracking records of the algorithm-recommended dosing, provided a unique opportunity to evaluate adherence and to better understand deviations from protocol-stipulated treatments.
Nonetheless, we believe our study results are relatively robust, as we conducted a reliability check by manually reviewing 200 asphyxiation suicide records, and there was perfect agreement in 82.9% of the records between the algorithm and the reviewer.
The sufficiency of history records needed by the algorithm and low queue occupancy are the two main contributions in this best performance case.
The burst time of each detected cough is recorded by the algorithm.
NrABC uses a non-revisiting scheme to record history evolution information of the algorithm.
If the spatial RMS error is used in the choice of each recording sites on each pass of the algorithm it is possible in theory that recording sites would be chosen to favour minimal potential error.
Unfortunately, it was not possible to undertake a formal evaluation for example, via chart review or use of additional data sources (e.g., electronic medical records)—of the accuracy of these algorithms within the context of this study.
17 29 Two clinical experts were used to create the three gold standard sets of 1200 clinical records with which the algorithm was trained and tested, and against which the algorithm was validated.
When compared with a manual record review, the algorithm has a sensitivity of 96.2% and a specificity of 98.0% (11).
Until now no public database of free text elements of medical records has been available, and comparisons of the algorithm described here with other algorithms are therefore difficult.
We emphasize the robustness of the algorithm against recording artefacts.
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