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TZID:America/Chicago
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DTSTART:20220313T030000
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DTSTART:20221106T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260613T092628
UID:171610@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20220923T120000
DTEND;TZID=America/Chicago:20220923T130000
DESCRIPTION:Using Electronic Health Record Data to Predict Deterioration in
  Hospitalized Children. This talk will focus on using machine learning and
  electronic health record (EHR) data to revolutionize pediatric early warn
 ing scores in hospitals. Dr. Mayampurath will discuss a gradient boosted m
 achine learning model that detects deterioration earlier and more accurate
 ly than current standards in both internal and external settings. He will 
 highlight his lab's recent efforts to extend risk prediction to other hosp
 ital settings and the use of notes for explaining prediction model outputs
 .\n\nCONTACT: 265-3508\, jiwei.zhao@wisc.edu\n\nURL: https://biostat.wiscw
 eb.wisc.edu/events/department-seminars/\n\nONLINE: https://uwmadison.zoom.
 us/j/97289902125
LOCATION:Auditorium\, Genetics-Biotechnology Center Building  (Also offered
  online)
SUMMARY:Biostatistics and Medical Informatics Seminar with Anoop Mayampurat
 h\, Department of Biostatistics & Medical Informatics
URL;VALUE=URI:https://biostat.wiscweb.wisc.edu/events/department-seminars/
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