Kick-Off Webinar - IEEE Denmark Women in Engineering AG
Dear All,
We would like to invite you to the IEEE Denmark Women in Engineering AG Kick-Off Webinar on the topic of "Advancing Healthcare with Data Science" (see abstract below), hosted by WiE Denmark and presented by Assistant Professor Marjan Marsouvar, University of Southern Denmark. The webinar takes place on December 10, 2-3pm, CET, on Zoom (meeting link below).
Hope to see you all in the meeting.
Best regards,
Assoc. Prof. Sanja Lazarova-Molnar
Chair, IEEE WiE AG Denmark
Abstract:
Over the past decade, exponential data growth is introduced a new domain called big data within the field of information technology and data science. We are inundated with large datasets in our life both personally and professionally. Data science is an inter-disciplinary domain that uses algorithms and statistical models to gain knowledge from large datasets. Data science includes Artificial Intelligence method like Machine Learning (ML), which has been credited with the promise to transform health professions education by offering approaches to handle big. We are going to talk about the power of data, highlight some valuable research aspects on healthcare big data. We will present the extent of healthcare big data analytics and data science together with its applications and challenges in healthcare adoption.
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Denmark: +4589883788,,61563291531# |
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615 6329 1531 |
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615 6329 1531 |
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109.105.112.236 |
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615 6329 1531 |
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Date and Time
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- Odense, Fyns Amt
- Denmark
Speakers
Assistant Prof. Marjan Marsouvar of University of Southern Denmark
Advancing Healthcare with Data Science
Over the past decade, exponential data growth is introduced a new domain called big data within the field of information technology and data science. We are inundated with large datasets in our life both personally and professionally. Data science is an inter-disciplinary domain that uses algorithms and statistical models to gain knowledge from large datasets. Data science includes Artificial Intelligence method like Machine Learning (ML), which has been credited with the promise to transform health professions education by offering approaches to handle big. We are going to talk about the power of data, highlight some valuable research aspects on healthcare big data. We will present the extent of healthcare big data analytics and data science together with its applications and challenges in healthcare adoption.
Address:Odense, Fyns Amt, Denmark, 5230