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ACS patients paths

General description

Classification of pathways for ACS patients. Ten classes were identified according to clustering of observed paths. Each class is described with a states, transition probabilities, observed LoS for states.

States naming convention

  • _01 - initial state
  • *01 - final state
  • Axx - reception
  • Dxx - reception for transfer to further treatment
  • Exx - cardiological department
  • Fxx - intensive care department
  • Ixx - surgery
  • Nxx - coronarography

Here xx is two-digit ID of state within a group.

Files

Clusters

For each of 10 clusters (named by cluster ID in a range [0..9]):

  • Transition_matrixN.csv - transition matrix (probability of transition from state to state) for all available states (csv, headers in first row and column)
  • Distr_statesN/XXX.txt - set of observed data for length of stay in state XXX

Here N is cluster ID, XXX is states (can be obtained from transition matrices).

Flow of patients

  • Number_of_patients.txt - number of patients per day (1 column, no header)
  • Entrance_time.txt - time of patients arrival starting from the beginning of the day in minutes (1 column, no header)

Clustering data

  • LoS.txt - LoS claimed in EHR in conclusion (1 column, no header)
  • LoS for clusters.csv - LoS extracted from EHR (csv with header, columns: Cluster - cluster ID, Case - case ID;LoS - LoS in minutes)
  • clusters_size.csv - number of cases in clusters (csv with header, columns: CLUSTER_ID - cluster ID, CLUSTER_SIZE - number of cases)