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Further exploration of model variables is warranted.
We included in our model variables laboratory measurements, diagnosis codes, and concepts extracted from medical notes.
The model variables were estimated using values from literature.
Even if it were possible to describe all interactions between model variables, one would still need to parameterize the model.
Schwartz's norm-activation model variables were collected.
Table 2 provides descriptive statistics for model variables.
The constraints below are binary requirements for the model variables.
The last three constraints determine model variables signs.
Table 6 Results of the logistic regression model Variables Coef.
Table 3 provides the correlation coefficients for the model variables.
In contrast to model selection, model identification cannot take into account model variables or parameters since some model variables cannot be easily accessed for new chemical compounds.
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