Difference between revisions of "SOCR News BrockU Symposium 2019"
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* '''Date/Times''': Thursday, Oct 17, 2019, 8 AM - 7 PM. | * '''Date/Times''': Thursday, Oct 17, 2019, 8 AM - 7 PM. | ||
* '''Place/Time''': [https://brocku.ca/blogs/campus-map/sean-osullivan-theatre/ Sean O’Sullivan Theatre], 500 Glenridge Ave, St. Catharines, ON L2S 3A1, Canada | * '''Place/Time''': [https://brocku.ca/blogs/campus-map/sean-osullivan-theatre/ Sean O’Sullivan Theatre], 500 Glenridge Ave, St. Catharines, ON L2S 3A1, Canada | ||
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* '''Session''': ''BIG DATA Analytics in Health Care'' (Chair: [https://brocku.ca/mathematics-science/mathematics/directory/syed-ejaz-ahmed S. Ejaz Ahmed]) | * '''Session''': ''BIG DATA Analytics in Health Care'' (Chair: [https://brocku.ca/mathematics-science/mathematics/directory/syed-ejaz-ahmed S. Ejaz Ahmed]) | ||
* '''Breakout Section''': ''Data Science Skills and SOCR Interactive Tools'' | * '''Breakout Section''': ''Data Science Skills and SOCR Interactive Tools'' | ||
* '''Presenter''': [http://www.socr.umich.edu/people/dinov/ Ivo Dinov] | * '''Presenter''': [http://www.socr.umich.edu/people/dinov/ Ivo Dinov] | ||
| + | * '''Slides''': [http://socr.umich.edu/docs/uploads/2019/Dinov_SOCR_CloudServices_BrockU_2019.pdf PDF Slides] | ||
* '''Breakout Outline''': | * '''Breakout Outline''': | ||
** [http://dspa.predictive.space/ Data Science & Predictive Analytics (DSPA) Skills] (10-min) | ** [http://dspa.predictive.space/ Data Science & Predictive Analytics (DSPA) Skills] (10-min) | ||
Latest revision as of 16:38, 2 October 2019
Contents
SOCR News & Events: BIG DATA Analytics in Health Care Session | Re-Imaging Health Symposium, Brock University
The Re-Imaging Health Symposium will focus on a number of health topics and provide interactive training for health care practitioners, medical students, public health administrators, and health industry leaders.
The special session on BIG DATA Analytics in Health Care represents one of six sub-plenaries sessions. Presenters will deliver 6-minute sales pitches (rapid-fire talks) in advance of their presentations. The audience will base their attendance of a breakout section based specific analytics and health care topic and the rapid-fire sizzles.
The breakout section on Data Science Skills and SOCR Interactive Tools will provide self-guided learning modules, intuitive web-services, advanced analytical protocols, and powerful scientific visualization apps. The only prerequisites for the audience are (1) self-drive and high-doze of internal motivation, and (2) access to an modern device with high-speed Internet connection and a JavaScript-enabled browser. Participants are expected to leave with a substantial knowledge-base and a set of tools to interrogate complex biomedical and healthcare data.
Logistics
- Symposium: Re-Imaging Health Symposium
- Date/Times: Thursday, Oct 17, 2019, 8 AM - 7 PM.
- Place/Time: Sean O’Sullivan Theatre, 500 Glenridge Ave, St. Catharines, ON L2S 3A1, Canada
- Session: BIG DATA Analytics in Health Care (Chair: S. Ejaz Ahmed)
- Breakout Section: Data Science Skills and SOCR Interactive Tools
- Presenter: Ivo Dinov
- Slides: PDF Slides
- Breakout Outline:
- Data Science & Predictive Analytics (DSPA) Skills (10-min)
- Overview of SOCR capabilities, resources, and expertise (10-min)
- Hands-on Practice, Try-It-Now, apply to new data (20-min)
- Suggestions, comments, questions, critiques, etc. (10-min)
- Participants should bring laptops, and datasets, to try some of the hands-on resources before, during, and after the training workshop
- URL: http://wiki.socr.umich.edu/index.php/SOCR_News_BrockU_Symposium_2019
Background
- SOCR News & Events
- SOCR Global Users
- SOCR Navigators
- SOCR Datasets and Challenging Case-studies
- Electronic Textbooks:
Demos
- General SOCR Webapps
- SOCR BrainViewer
- Hands-on interactive visualization of extremely high-dimensional data (learning module and webapp)
References
- This breakout section is sponsored in part by NIH Grants P30 DK089503, P20 NR015331, U54 EB020406, P50 NS091856, P30AG053760, as well as, NSF Grants 1734853 and 1636840.
- SOCR Home page: http://www.socr.umich.edu
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