BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:NLP in the clinical domain - data\, approaches and considerations 
 - Sumithra Velupillai (King's College)
DTSTART:20180301T110000Z
DTEND:20180301T120000Z
UID:TALK102181@talks.cam.ac.uk
CONTACT:Dimitri Kartsaklis
DESCRIPTION:Clinical NLP is the application of text processing approaches 
 on documents written by healthcare professionals in clinical settings\, su
 ch as notes and reports in health records. The interest for clinical NLP i
 s spurred by the need for real-time\, largescale\, and accurate informatio
 n extraction from health records to support clinical care\, e.g.\, through
  automated generation of a patient problem list\, to support biomedical an
 d health services research\, e.g.\, through precise cohort identification\
 , and to support public health practice\, e.g.\, through disease surveilla
 nce. Clinical NLP can provide clinicians with critical patient case detail
 s\, which are often locked within unstructured clinical texts and disperse
 d throughout a patient’s health record. Recently\, patient-generated tex
 t such as posts on social media forums related to health have also receive
 d increased interest for population-based studies.\n\nIn this talk\, I wil
 l describe work on automated extraction of clinically relevant information
  from clinical text\, including semantic aspects such as negation\, uncert
 ainty and time information. I will give some examples from my experience i
 n working with Swedish and English health record data\, collaborating with
  clinicians and considerations needed when working with this type of data\
 , as well as my recent experiences with working in the mental health domai
 n\, including studies on social media data.
LOCATION: SR-24\, English Faculty Building\, 9 West Road (Sidgwick Site)
END:VEVENT
END:VCALENDAR