Walk-through Of Patient No-show Supervised Machine Learning Classification With XGBoost In R

All database table and column names have been given aliases for security reasons. In this next step, we will gather a period of two years of historical appointment information as well as patient demographic information from VHA's Corporate Data Warehouse. We will connect R directly to Microsoft SQL Server via an ODBC connection using the RODBC package. We will use Structured Query Language (SQL) to pull the information from 11 tables. We will set three variables; start.date,