PARSE network

Load the data

Upload the data

1. Cosine similarity(csv). A data.frame of “from-to-weight”. Field:

   • from: center nodes
   • to: connected nodes
   • weight: the weight of the collection. e.g. cosine similarity.

2. Description(csv, Optional). Dictionary for nodes.

• Required Fields:
  • id: The unique key. (e.g. PheCode:008)
  • term: The description/name/string of the code. (e.g. intestinal infection)
  • type: Different types will use nodes of different shapes in the network. (e.g. NLP / Codified)
  • category: The Category of the node. (e.g. PheCode)
• Optional Fields
  • semantic type: semantic type/group. (e.g. infectious diseases)
  • group: (e.g. “Procedure_NLP” “CHEM” “Disease_NLP” “Drug_NLP” “Lab_NLP” “PHYS” “PHEN” “ACTI” “Other_cui” for NLP nodes; “Procedure_Codified”“Lab_Codified” “Disease_Codified” “Drug_Codified” for codified nodes)
  • group1: (e.g. “CCS” “PheCode” “RXNORM” “Lab” for codified nodes; “PROC” “CHEM” “DISO” “PHYS” “PHEN” “ACTI” for NLP nodes)
  • group2: (e.g. “Procedure” “Disease” “Drug” “Lab” “Ignore_cui”)
  • level1~4: The descriptions for hierarchical levels of id column. e.g. The hierarchy of PheCode:008.51:
    • level1 is the top level (intestinal infection: PheCode:008)
    • level2 is the second level (bacterial enteritis: PheCode:008.5)
    • level3 is the bottom level itself (intestinal e.coli: PheCode:008.51)
    • level4 is NA
  • count: The count/freq of the code.

Local data

When the data uploaded have been saved to PARSE DB, the database’s name will be found at the local data.

Network Graph

1. Hover the network

• hover the node
• hover the edge

2. Click on the node. There will be a popup window to show the details about the clicked node:

• Table of connected nodes.
• Hierarchy of the connected nodes.
• Cosine similarity od the connected nodes.
• More details.

Download the data

Press the Download on the top of the main page, to download the data of the network as csv.