Graph Analysis: Big Data Principles

Start Date
Recorded :
Thu Oct 24 at 04:00 pm PDT
Subject Area
Subject Area:
Meets For
Meets For:
1Session(s)
Languages
Language:
English
$25 USD Public
This class is Recorded
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About This Class
Languages
Language
English
Certifications
Certifications
No records
Description
Graph Theory can be applied to networks of doctors and hospitals in order to improve care coordination and protect profits. This course will go over the basic concepts of graph science, with the intention of applying the concepts to the DocGraph data set.

Learning Points:
Understand notions of centrality and graph traversal.
Understand influence patterns
Understand what a network motif is and why you would want to search for them
Understand how to translate healthcare issues to solvable graph problems.
Class Details and Calendar
Class Details
  • Recorded :
    Thu Oct 24 at 04:00 pm PDT
  • Total :
    1 Session(s)
  • Remaining :
    0 Session(s)
  • Max attendees :
    5,000
  • Currently Enrolled
    50
Class Schedule
Session Name
Start Date
Graph Analysis: Big Data Principles
120 Minute Session
Thu Oct 24 at 02:00 pm PDT
About Creator
Fred Trotter is a recognized expert in Free and Open Source medical software and security systems. He co-authored the first Health IT O’Reilly book “Hacking Healthcare.” He is also the founder of Not Only Development, which focuses on developing game-changing health care software. In recognition of his role within the health IT community, Fred was the Open Source representative invited by the National Committee on Vital and Health Statistics to testify on the definition of ‘meaningful use’. He also represented the Open Source EHR community in negotiations with CCHIT, the leading EHR certification body. Fred has spoken on this topic in a variety of publications including WIRED, Government Health IT, Linux Journal, and NPR.