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CALSCALE:GREGORIAN
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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20210314T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
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BEGIN:STANDARD
DTSTART:20211107T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260907T215611
UID:158922@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20210423T120000
DTEND;TZID=America/Chicago:20210423T130000
DESCRIPTION:Department of Biostatistics & Medical Informatics Seminar. Dr. 
 Majid Afshar\, MD\, MS\, will be discussing multiple computable phenotypes
  built from the electronic health record using natural language processing
  methods\, including named entity recognition. He will cover the developme
 nt of several clinical classifiers and highlight approaches to mitigate bi
 as\, calibration cross heterogenous clinical settings\, and comparisons ac
 ross machine learning approaches.\n\nCONTACT: clindstrom@biostat.wisc.edu\
 n\nONLINE: https://uwmadison.zoom.us/j/94552629752
LOCATION:  (Online)
SUMMARY:Clinical Natural Language Processing for Health Outcomes Research: 
 Current Applications and Future State for Patient Car
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