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Without medical supervision, adverse effects cannot be appropriately monitored or managed

In each iteration of training the Random Forest 43 based binary classifier, each cluster was separately set to 1, while the rest were labeled 0 to identify the most important features driving the discussions underlying that cluster

This section summarizes what we have learned and provides clarity on this important health issue

Data were collected using the electronic medical record (EMR) system, which facilitates various factors, including age, gender, test results, diagnoses, and medication details, all of which are coded according to the ICD-10 classification system