For most datasets, using only clinical measurements results in the worst performance; however, if we look at the results for accuracy, for some datasets, such as G251, F132 and L270, opposite results are observed; for the AUC results, we can see that for datasets D642, E273, F199, L270, T783, T784, T886 and T887, using a combination of clinical measurements and codes outperforms the others.
TEC, both from SuGAr and IGS receivers, are calculated here using differential carrier phase measurements and code measurements available in the receiver-independent exchange (RINEX) file format.
where (ϕ f2 − ϕ f1)0 and (P 1 − P 2 0 are the initial values of the carrier-phase measurements combination and code measurements combination, respectively, and el is the number of electrons.
This paper offers insights into the main features of the largest migration policy database completed to date, but also hopes to provide useful guidelines for future efforts to improve the measurement and coding of migration policies.
10 Process measures have several advantages over direct measures of patient outcomes, including greater sensitivity and responsiveness to intervention; outcome measures such as mortality may be confounded by variations in case mix or demographics and may be more susceptible to measurement and coding error.
By combining clinical measurements and clinical codes, the predictive performance does not outperform using only clinical codes.
From a quantitative point of view, the bar plot in Figure 5, depicting the proportion of clinical measurements and clinical codes among the selected features indicates that, irrespective of threshold, the majority are invariably clinical codes.
After investigating representations of clinical measurements and clinical codes separately, we combined them using their respective best observed representation.
We evaluated different representations of clinical measurements and clinical codes using methods proposed in [ 24] and [ 26], and slightly different results are observed here.
Each learning algorithm used clinical measurements and clinical codes, in isolation and combined, to build predictive models with features selected on all thresholds.
We have here presented a detailed study and proposed solutions to the said challenges, focusing on two groups of data: measurements and clinical codes that encode drugs and diagnoses.
