BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20171230T142928Z UID:A0D8C849-AC7E-4A3B-8991-CF33B48E4091 DTSTART;TZID=Asia/Kolkata:20171228T103000 DTEND;TZID=Asia/Kolkata:20171228T123000 DESCRIPTION:There are huge masses of population in the world and particular ly in India\, without access to sufficient healthcare. The World Health Or ganization (WHO) statistics show that disease and mortality rate greatly d epend on access to proper healthcare. The talk will present a vision for a utomating a crucial healthcare function\, medical diagnosis for mass deplo yment. The ideas that will be presented in the talk aim at automating medi cal diagnosis using text-mining techniques and the Vector Space Model. The key factor for healthcare’s success is the physician’s expertise. In this talk\, we will examine if that expertise can be modeled as an informa tion corpus and extracted using text mining techniques\, particularly usin g the Vector Space Model\, to perform diagnosis.\n\nCo-sponsored by: Saint Francis College for Women\, Street.No.6\, Uma Nagar\, Begumpet Hyderabad\ n\nSpeaker(s): Vishnu S. Pendayala\, \n\nSaint Francis College for Women\, Street.No.6\, Uma Nagar\, Begumpet \, Hyderabad\, Andhra Pradesh\, India LOCATION:Saint Francis College for Women\, Street.No.6\, Uma Nagar\, Begump et \, Hyderabad\, Andhra Pradesh\, India ORGANIZER:T.HITENDRASARMA@GMAIL.COM SEQUENCE:2 SUMMARY:An Expert Talk on MINING FOR MEDICAL EXPERTISE URL;VALUE=URI:https://events.vtools.ieee.org/m/155869 X-ALT-DESC:Description: <br /><p>There are huge masses of population in the world and particularly in India\, without access to sufficient healthcare . The World Health Organization (WHO) statistics show that disease and mor tality rate greatly depend on access to proper healthcare. The talk will p resent a vision for automating a crucial healthcare function\, medical dia gnosis for mass deployment. The ideas that will be presented in the talk a im at automating medical diagnosis using text-mining techniques and the Ve ctor Space Model. The key factor for healthcare&rsquo\;s success is the ph ysician&rsquo\;s expertise. In this talk\, we will examine if that experti se can be modeled as an information corpus and extracted using text mining techniques\, particularly using the Vector Space Model\, to perform diagn osis.</p> END:VEVENT END:VCALENDAR