Big data - How algorithms can help prevent illnesses

In the future, the health care system can use big data for early detection and prevention. At WHINN 2017, seize the opportunity to hear Karen Andersen-Ranberg, Professor and Consultant in geriatrics at Odense University Hospital and University of Southern Denmark present

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21-09-2017

Date: 9th Oct 2017

Place: Forskerparken 10G, 5230 Odense M

Price: DKK 450 ex. VAT

Register here, by entering your information and choosing OPEN DATA – BIG DREAMS on the following page.

Target audience: Everyone with an interest in Big data and Open data are welcome, as we wish to include and hear from a diverse group of actors and interested parties.

Organized by: Dansk IT, SDU TEK & CoLab Plug & Play

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The Future of BIG DATA and OPEN DATA

WHINN 2017 will host a BIG DATA conference about the many future prospects within BIG DATA and OPEN DATA. Using public health care data as a primary source offers a tremendous opportunity to understand and forecast health care use.

Karen Andersen-Ranberg, Professor and Consultant at the Department of Geriatrics, Odense University Hospital and University of Southern Denmark, is leading a ground-breaking project in which ageing-related and continuously collected health parameters at the individual level are available from public databases, and used to identify risk factors of acute admission. The project is in the process of developing and validating algorithms to alert primary health care personnel about signs of impending health deterioration in their older citizens.

Read the article at whinn.dk