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A total of three descriptors, identified by decision tree, were subsequently utilized for development of suitable models using moving average analysis.
Utilities within the one-year decision tree were based on EQ-5D data collected within the PLATO study [7],[8].
Table 5 Recognition results 41,000 ms 41,250 41,500 ms 41,750 ms 42,000 ms 43,250 43,500 ms 43,750 ms. The poses perceived (4 fps) through the pose decision tree were transmitted to another iPad that was connected to the message sender.
Rates of bioactivity among compounds ranked by the decision tree were compared with randomly permutated compound rankings.
The probabilities of events in the decision tree were derived from: a) Published studies and b) The SE and SP of the techniques.
The utility values used for each of the model health states in the 1-year decision tree were obtained from EuroQol-5D data collected in the PLATO trial and represent the accrued utility over a 12-month period (Table 2).
Similar(52)
The prediction rate of the decision tree was 72%.
Out-of-sample testing indicated the decision tree was a good fit.
A decision tree is a graphical device that is helpful in structuring and analyzing such problems.
This decision tree is shown below.
The decision tree is denoted by DT.
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