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Using of such algorithms for patients who sustained multiple brain injuries was proposed by Maas et. al. [ 6].
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Here, we have used one of such algorithms, the Incremental Association Markov Blanket (IAMB) algorithm [ 25].
We suggest a more frequent and wider use of such algorithms in warranty policies.
However, the use of such algorithms can be a hard task for the software engineer, mainly due to the significant range of parameter and algorithm choices.
This limitation hinders the use of such algorithms, for example, in a relational database which consists of several tables semantically related [2].
However, use of such algorithms may exclude less severe cases that do not require treatment, and the inclusion of test results in these algorithms is problematic since not all test results are recorded in the GPRD.
From the health system perspective, use of such algorithms would necessitate the evaluation of several patients without knee or hip OA for each one definitively diagnosed with these conditions, something usual on screening tools.
It has also been shown that reproducibility of results from the use of such algorithms can drastically decrease, yielding low inter-rater variability, because clinical judgment is always necessary to be able to answer all the questions included [ 61].
87 One targeted use of such algorithms and embedded electronic clinical decision support is to use the order entry function of EHRs to improve the appropriateness of diagnostic tests 88 89 although, when tested, it failed to demonstrate an impact on the proportion of radiology tests with positive findings or improve patient outcomes.
Reduction of time spent in hypoglycemia is important in view of future home use of such algorithm-driven insulin-infusion systems.
Therefore before use in practice the discriminative abilities of such algorithms should be tested in another cohorts with similar patients (similar incidence rate).
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