Graph Analysis: Big Data Principles

12 Reviews

By Fred Trotter

Send a Message

Recorded :

Thu Oct 24 at 07:00 pm EDT

Subject Area:

Technology > Health Data

Meets For:

1Session(s)

Language:

English

$25 USD Public

This class is Recorded

About This Class

Language

English

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.

See All

Class Details and Calendar

Class Details

Recorded :
Thu Oct 24 at 07:00 pm EDT
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 05:00 pm EDT

About Creator

Fred Trotter

Health Data > Big Data, Big Business
Technology > Comp Programming

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.