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Health Data Analytics Workshop (University of Michigan)

Event Details

Health Data Analytics Workshop (University of Michigan)

Time: October 12, 2018 from 1pm to 5pm
Location: 426 N. Ingalls (SNB 1250) University of Michigan
Street: 426 N. Ingalls Str.
City/Town: Ann Arbor
Website or Map: http://wiki.socr.umich.edu/in…
Event Type: training, workshop
Organized By: U Michigan MNORC-IBIC/SOCR/HAC
Latest Activity: Oct 10

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Event Description

This workshop will provide unique hands-on Health Data Analytics train that may be appropriate to students, postdocs, fellows, early career scholars, and junior faculty with interests in novel strategies for interrogating Big heterogeneous, time-varying, incongruent, incomplete, and multi-scale biomedical data. The workshop is divided in two complementary parts. Part one will provide didactic training in data science methods, available computational infrastructure, statistical inference techniques, and data wrangling strategies. The participants will drive all activities in the second part of the workshop where new datasets, case-studies, and scenarios brought up by all attendees will guide the demonstrations of specific predictive health analytics methods. All registered participants are encouraged to bring their laptops for try-it-now experiences.

Logistics

  • Date: Fri Oct 12, 2018
  • Place/Time: 1-5 PM, 426 N. Ingalls (SNB 1250)
  • Organizers: MNORC-IBIC, SOCR Team, HAC (University of Michigan)
  • Registration: (space is limited) Please use this link to register for the training workshop. If there is sufficient interest, we may offer a live stream via BlueJeans.
  • Format:
    • Presentations: capabilities, resources, and expertise (6 x 15-min)
    • Participant-led challenges, case-studies, template below, (20-30-min)
    • Hands-on Consulting, Try-It-Now, apply to new data (120-min)
    • Participants should bring laptops, and datasets, to try some of the resources hands-on at the training workshop

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