Difference between revisions of "SOCR News 2018 UMSN SummerInstitute"
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== [[SOCR_News | SOCR News & Events]]: Big Healthcare Data: Research Challenges, AI Capabilities, and Educational Opportunities == | == [[SOCR_News | SOCR News & Events]]: Big Healthcare Data: Research Challenges, AI Capabilities, and Educational Opportunities == | ||
| − | TBD | + | ==Logistics== |
| + | * '''Event''': 2018 [http://nursing.umich.edu/academics/global-sexual-health-summer-institute Global Sexual Health Summer Institute] | ||
| + | * '''Series''': ''Big Data & Health Analytics'' | ||
| + | * '''Session''': ''Big Healthcare Data: Research Challenges, AI Capabilities, and Educational Opportunities'' | ||
| + | * '''Place/Time''': TBD | ||
| + | * Instructor: [http://www.umich.edu/~dinov/ Ivo D Dinov] | ||
| + | |||
| + | ==Abstract== | ||
| + | This session will focus on three Big Healthcare Data topics (1) healthcare challenges, (2) analytical capabilities, and (3) educational opportunities. Participants are encouraged to bring their laptops to experiment with some of the interactive content and hands-on demonstrations. JavaScript- and Java-enabled web-browsers would be useful. Participants interested in diving deeper into health analytics should also install [http://R-project.org R] and [http://www.rstudio.org/ RStudio graphical user interface]. The [http://myumi.ch/6xNgd unique URI for this session is http://myumi.ch/6xNgd] and it contains links to all resources that will be demonstrated. | ||
| + | |||
| + | == Desired learning outcomes== | ||
| + | * ... | ||
| + | |||
| + | |||
| + | ==References== | ||
| + | * [http://wiki.socr.umich.edu/index.php/SOCR_News_2018_UMSN_SummerInstituteSession URL: http://wiki.socr.umich.edu/index.php/SOCR_News_2018_UMSN_SummerInstitute] | ||
| + | * Dinov, ID, 2018. [http://www.springer.com/us/book/9783319723464 Data Science and Predictive Analytics: Biomedical and Health Applications using R], Springer, Computer Science, ISBN 978-3-319-72346-4. | ||
| + | * [http://predictive.space Data Science and Predictive Analytics (DSPA) Website: http://predictive.space] | ||
| + | * [http://www.socr.umich.edu/people/dinov/publications.html Publications] | ||
| + | |||
Revision as of 13:10, 20 March 2018
Contents
SOCR News & Events: Big Healthcare Data: Research Challenges, AI Capabilities, and Educational Opportunities
Logistics
- Event: 2018 Global Sexual Health Summer Institute
- Series: Big Data & Health Analytics
- Session: Big Healthcare Data: Research Challenges, AI Capabilities, and Educational Opportunities
- Place/Time: TBD
- Instructor: Ivo D Dinov
Abstract
This session will focus on three Big Healthcare Data topics (1) healthcare challenges, (2) analytical capabilities, and (3) educational opportunities. Participants are encouraged to bring their laptops to experiment with some of the interactive content and hands-on demonstrations. JavaScript- and Java-enabled web-browsers would be useful. Participants interested in diving deeper into health analytics should also install R and RStudio graphical user interface. The unique URI for this session is http://myumi.ch/6xNgd and it contains links to all resources that will be demonstrated.
Desired learning outcomes
- ...
References
- URL: http://wiki.socr.umich.edu/index.php/SOCR_News_2018_UMSN_SummerInstitute
- Dinov, ID, 2018. Data Science and Predictive Analytics: Biomedical and Health Applications using R, Springer, Computer Science, ISBN 978-3-319-72346-4.
- Data Science and Predictive Analytics (DSPA) Website: http://predictive.space
- Publications
- SOCR Home page: http://www.socr.umich.edu
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