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TZID:Europe/Copenhagen
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DTSTART:20210328T030000
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DTSTART:20201025T020000
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BEGIN:VEVENT
DTSTAMP:20210126T123932Z
UID:5E482EDE-B6B2-4EAA-A3D1-DA9025E56777
DTSTART;TZID=Europe/Copenhagen:20201210T140000
DTEND;TZID=Europe/Copenhagen:20201210T150000
DESCRIPTION:Dear All\,\n\nWe would like to invite you to the [IEEE Denmark 
 Women in Engineering AG Kick-Off Webinar](https://syddanskuni.zoom.us/j/61
 563291531) on the topic of &quot;Advancing Healthcare with Data Science&quot; (see a
 bstract below)\, hosted by WiE Denmark and presented by Assistant Professo
 r Marjan Marsouvar\, University of Southern Denmark. The webinar takes pla
 ce on December 10\, 2-3pm\, CET\, on [Zoom](https://syddanskuni.zoom.us/j/
 61563291531) (meeting link below).\n\nHope to see you all in the meeting.\
 n\nBest regards\,\n\nAssoc. Prof. Sanja Lazarova-Molnar\n\nChair\, IEEE Wi
 E AG Denmark\n\nAbstract:\n\nOver the past decade\, exponential data growt
 h is introduced a new domain called big data within the field of informati
 on technology and data science. We are inundated with large datasets in ou
 r life both personally and professionally. Data science is an inter-discip
 linary domain that uses algorithms and statistical models to gain knowledg
 e from large datasets. Data science includes Artificial Intelligence metho
 d like Machine Learning (ML)\, which has been credited with the promise to
  transform health professions education by offering approaches to handle b
 ig. 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 he
 althcare big data analytics and data science together with its application
 s and challenges in healthcare adoption.\n\n[Join Zoom Meeting](https://sy
 ddanskuni.zoom.us/j/61563291531)\n\nPhone one-tap:\n\nDenmark: [+458988378
 8\,\,61563291531#](tel:+4589883788\,\,61563291531)\n\nMeeting URL:\n\nhttp
 s://syddanskuni.zoom.us/j/61563291531\n\nMeeting ID:\n\n615 6329 1531\n\nJ
 oin by Telephone\n\nFor higher quality\, dial a number based on your curre
 nt location.\n\nDial:\n\nDenmark: +45 89 88 37 88\nNetherlands: +31 20 794
  7345 or +31 20 241 0288 or +31 207 940 854 or +31 20 794 6519 or +31 20 7
 94 6520\n\nMeeting ID:\n\n615 6329 1531\n\n[International numbers](https:/
 /syddanskuni.zoom.us/u/cbEOAqofGz)\n\nJoin from an H.323/SIP room system\n
 \nH.323:\n\n109.105.112.236\n109.105.112.235\n\nMeeting ID:\n\n615 6329 15
 31\n\nSIP:\n\n61563291531@109.105.112.236\n61563291531@109.105.112.235\n\n
 Skype for Business (Lync)\n\nhttps://syddanskuni.zoom.us/skype/61563291531
 \n\nSpeaker(s): Assistant Prof. Marjan Marsouvar\, \n\nOdense\, Fyns Amt\,
  Denmark\, Virtual: https://events.vtools.ieee.org/m/247934
LOCATION:Odense\, Fyns Amt\, Denmark\, Virtual: https://events.vtools.ieee.
 org/m/247934
ORGANIZER:slmo@mmmi.sdu.dk
SEQUENCE:1
SUMMARY:Kick-Off Webinar - IEEE Denmark Women in Engineering AG
URL;VALUE=URI:https://events.vtools.ieee.org/m/247934
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Dear All\,&lt;/p&gt;\n&lt;p&gt;We would like to invite
  you to the &lt;a href=&quot;https://syddanskuni.zoom.us/j/61563291531&quot;&gt;IEEE Denma
 rk Women in Engineering AG Kick-Off Webinar&lt;/a&gt; on the topic of &quot;Advancing
  Healthcare with Data Science&quot; (see abstract below)\, hosted by WiE Denmar
 k and presented by Assistant Professor Marjan Marsouvar\, University of So
 uthern Denmark. The webinar takes place on December 10\, 2-3pm\, CET\, on 
 &lt;a href=&quot;https://syddanskuni.zoom.us/j/61563291531&quot;&gt;Zoom&lt;/a&gt;&amp;nbsp\;(meetin
 g link below).&lt;/p&gt;\n&lt;p&gt;Hope to see you all in the meeting.&lt;/p&gt;\n&lt;p&gt;Best re
 gards\,&lt;/p&gt;\n&lt;p&gt;Assoc. Prof. Sanja Lazarova-Molnar&lt;/p&gt;\n&lt;p&gt;Chair\, IEEE Wi
 E AG Denmark&lt;/p&gt;\n&lt;p&gt;Abstract:&lt;/p&gt;\n&lt;p&gt;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 data
 sets in our life both personally and professionally. Data science is an in
 ter-disciplinary domain that uses algorithms and statistical models to gai
 n knowledge from large datasets. Data science includes Artificial Intellig
 ence method like Machine Learning (ML)\, which has been credited with the 
 promise to transform health professions education by offering approaches t
 o handle big. We are going to talk about the power of data\, highlight som
 e valuable research aspects on healthcare big data. We will present the ex
 tent of healthcare big data analytics and data science together with its a
 pplications and challenges in healthcare adoption.&lt;/p&gt;\n&lt;table width=&quot;100%
 &quot;&gt;\n&lt;tbody&gt;\n&lt;tr&gt;\n&lt;td colspan=&quot;2&quot;&gt;\n&lt;p&gt;&lt;a href=&quot;https://syddanskuni.zoom.
 us/j/61563291531&quot;&gt;Join Zoom Meeting&lt;/a&gt;&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width
 =&quot;22%&quot;&gt;\n&lt;p&gt;Phone one-tap:&lt;/p&gt;\n&lt;/td&gt;\n&lt;td&gt;\n&lt;p&gt;Denmark: &lt;a href=&quot;tel:+458
 9883788\,\,61563291531&quot;&gt;+4589883788\,\,61563291531#&lt;/a&gt;&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\
 n&lt;tr&gt;\n&lt;td width=&quot;22%&quot;&gt;\n&lt;p&gt;Meeting URL:&lt;/p&gt;\n&lt;/td&gt;\n&lt;td&gt;\n&lt;p&gt;&lt;a href=&quot;htt
 ps://syddanskuni.zoom.us/j/61563291531&quot;&gt;https://syddanskuni.zoom.us/j/6156
 3291531&lt;/a&gt;&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;22%&quot;&gt;\n&lt;p&gt;Meeting ID:&lt;/p&gt;\
 n&lt;/td&gt;\n&lt;td&gt;\n&lt;p&gt;615 6329 1531&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td colspan=&quot;2&quot;&gt;\n
 &lt;p&gt;&lt;strong&gt;Join by Telephone &lt;/strong&gt;&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td colspa
 n=&quot;2&quot;&gt;\n&lt;p&gt;For higher quality\, dial a number based on your current locati
 on.&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;22%&quot;&gt;\n&lt;p&gt;Dial:&lt;/p&gt;\n&lt;/td&gt;\n&lt;td&gt;\n
 &lt;p&gt;&lt;br /&gt;Denmark: +45 89 88 37 88 &lt;br /&gt;Netherlands: +31 20 794 7345 or +3
 1 20 241 0288 or +31 207 940 854 or +31 20 794 6519 or +31 20 794 6520&lt;/p&gt;
 \n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;22%&quot;&gt;\n&lt;p&gt;Meeting ID:&lt;/p&gt;\n&lt;/td&gt;\n&lt;td&gt;\n&lt;
 p&gt;615 6329 1531&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td colspan=&quot;2&quot;&gt;\n&lt;p&gt;&lt;a href=&quot;htt
 ps://syddanskuni.zoom.us/u/cbEOAqofGz&quot;&gt;International numbers&lt;/a&gt;&lt;/p&gt;\n&lt;/td
 &gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td colspan=&quot;2&quot;&gt;\n&lt;p&gt;&lt;strong&gt;Join from an H.323/SIP room s
 ystem &lt;/strong&gt;&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;22%&quot;&gt;\n&lt;p&gt;H.323:&lt;/p&gt;\n
 &lt;/td&gt;\n&lt;td&gt;\n&lt;p&gt;109.105.112.236&lt;br /&gt;109.105.112.235&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;t
 r&gt;\n&lt;td width=&quot;22%&quot;&gt;\n&lt;p&gt;Meeting ID:&lt;/p&gt;\n&lt;/td&gt;\n&lt;td&gt;\n&lt;p&gt;615 6329 1531&lt;/p
 &gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td width=&quot;22%&quot;&gt;\n&lt;p&gt;SIP:&lt;/p&gt;\n&lt;/td&gt;\n&lt;td&gt;\n&lt;p&gt;6156
 3291531@109.105.112.236&lt;br /&gt;61563291531@109.105.112.235&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;
 \n&lt;tr&gt;\n&lt;td colspan=&quot;2&quot;&gt;\n&lt;p&gt;&lt;strong&gt;Skype for Business (Lync) &lt;/strong&gt;&lt;/
 p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;tr&gt;\n&lt;td colspan=&quot;2&quot;&gt;\n&lt;p&gt;&lt;a href=&quot;https://syddanskuni.
 zoom.us/skype/61563291531&quot;&gt;https://syddanskuni.zoom.us/skype/61563291531&lt;/
 a&gt;&lt;/p&gt;\n&lt;/td&gt;\n&lt;/tr&gt;\n&lt;/tbody&gt;\n&lt;/table&gt;
END:VEVENT
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