## 3 Methodology
### Experimentation
#### 3.2.2 Setup  
ProFIT produces a direct flows graph to visualise the process model. Direct flows graphs are a robust method that facilitate the requirements of experts and novice users. The miner in ProFIT has two control parameters to change the amount of information depicted in the process model: _Activity rate_ and _Path rate_. The activity rate controls the number of events (activities) shown, based on their total frequency of occurrence in the event log. The path rate controls the number of pathways (edges) connecting relative activities in the event log. Similar to the activity rate, it is controlled based on the total frequency of usage. Both rates can be varied on a scale of (0-100). In our experiment, the control parameters were varied over two regimes. These specific variations generated process models that produced a uniform pattern for analysis and generation of model ratings. The parameters were varied in the following format:  
_Regime 1 (R1)_: The _Activity rate (AR)_ is varied in steps of 1 between [0 and 100] _(S1)_ and the _Path rate (PR)_ is varied in stages of [5], [20], [40], [60], [80], [100] _(S2)_. _(R1)_ can be observed in Figure 5;  
_Regime 2 (R2)_: The _Path Rate (PR)_ is varied in steps of 1 between [0 and 100] _(S1)_ and the _Activity rate (AR)_ is varied in stages of [5], [20], [40], [60], [80], [100] _(S2)_. _(R2)_ can be observed in Figure 5.  
\begin{table}
\begin{tabular}{l l l l l l l l} \hline \hline \multirow{2}{*}{\#} & \multirow{2}{*}{**Dataset Name**} & \multirow{2}{*}{**Number of Entries**} & \multirow{2}{*}{**Number of Unique Traces**} & \multirow{2}{*}{**Average**} & \multirow{2}{*}{**Max**} & \multirow{2}{*}{**Min**} & \multirow{2}{*}{**Number of Trace Size**} & \multirow{2}{*}{**Unique Events**} \\  & & & & & & & & \\ \hline \multirow{2}{*}{1} & Remote Patient & \multirow{2}{*}{35,358} & \multirow{2}{*}{272} & \multirow{2}{*}{130} & \multirow{2}{*}{673} & \multirow{2}{*}{3} & \multirow{2}{*}{17} \\  & Monitoring Data & & & & & & & \\ \hline \multirow{2}{*}{2} & Real-Life & \multirow{2}{*}{150,291} & \multirow{2}{*}{1143} & \multirow{2}{*}{131} & \multirow{2}{*}{1814} & \multirow{2}{*}{1} & \multirow{2}{*}{615} \\  & Event logs & & & & & & & \\ \hline \multirow{2}{*}{3} & Hospital Billing & \multirow{2}{*}{89,088} & \multirow{2}{*}{18,278} & \multirow{2}{*}{5} & \multirow{2}{*}{217} & \multirow{2}{*}{1} & \multirow{2}{*}{18} \\  & Event Log & & & & & & & \\ \hline \multirow{2}{*}{4} & Nurse Work Flow & \multirow{2}{*}{13,644} & \multirow{2}{*}{187} & \multirow{2}{*}{73} & \multirow{2}{*}{440} & \multirow{2}{*}{1} & \multirow{2}{*}{228} \\  & Event log & & & & & & & \\ \hline \multirow{2}{*}{5} & Data Driven Process & \multirow{2}{*}{99,589} & \multirow{2}{*}{11,112} & \multirow{2}{*}{9} & \multirow{2}{*}{11} & \multirow{2}{*}{2} & \multirow{2}{*}{8} \\  & Discovery—Artificial & & & & & & & \\ \hline \multirow{2}{*}{6} & Central Venous & \multirow{2}{*}{697} & \multirow{2}{*}{20} & \multirow{2}{*}{35} & \multirow{2}{*}{59} & \multirow{2}{*}{26} & \multirow{2}{*}{29} \\  & Catheter Process & & & & & & & \\ \hline \multirow{2}{*}{7} & Sepsis Treatment & \multirow{2}{*}{15,214} & \multirow{2}{*}{26} & \multirow{2}{*}{586} & \multirow{2}{*}{8111} & \multirow{2}{*}{1} & \multirow{2}{*}{16} \\  & Careflow Dataset & & & & & & & \\ \hline \hline \end{tabular}
\end{table}
Table 1: Statistics of selected healthcare datasets.