An Expert Talk on MINING FOR MEDICAL EXPERTISE

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Expert Talk


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 mortality rate greatly depend on access to proper healthcare. The talk will present a vision for automating a crucial healthcare function, medical diagnosis for mass deployment. The ideas that will be presented in the talk aim at automating medical 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 information corpus and extracted using text mining techniques, particularly using the Vector Space Model, to perform diagnosis.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 28 Dec 2017
  • Time: 10:30 AM to 12:30 PM
  • All times are (UTC+05:30) Chennai
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  • Saint Francis College for Women
  • Street.No.6, Uma Nagar, Begumpet
  • Hyderabad, Andhra Pradesh
  • India

  • Contact Event Host
  • Dr. Sr Sujata Yeruva CSC, (PG Coordinator) sr.sujatha@sfc.ac.in 8074572299

  • Co-sponsored by Saint Francis College for Women, Street.No.6, Uma Nagar, Begumpet Hyderabad
  • Starts 27 December 2017 02:15 PM
  • Ends 28 December 2017 08:30 AM
  • All times are (UTC+05:30) Chennai
  • No Admission Charge


  Speakers

Vishnu S. Pendayala of Santa Clara University

Topic:

MINING FOR MEDICAL EXPERTISE

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 mortality rate greatly depend on access to proper healthcare. The talk will present a vision for automating a crucial healthcare function, medical diagnosis for mass deployment. The ideas that will be presented in the talk aim at automating medical 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 information corpus and extracted using text mining techniques, particularly using the Vector Space Model, to perform diagnosis. 

Biography:

Mr. Vishnu S. Pendyala is a Technical Leader with Cisco and a Senior Member of IEEE and Computer Society of India. He has over two decades of software experience with industry leaders like Cisco, Synopsys, Informix (now IBM), and Electronics Corporation of India Limited. He holds BE(CSE), MBA(Fin.), and MS (Comp. Eng’g) degrees from Indian and U.S. universities and is currently a PhD candidate at Santa Clara University. He received the Ramanujam memorial gold medal at State Math Olympiad and has been a successful leader during his undergrad years. Marquis Who's Who has selected Vishnu's biography for inclusion in multiple of its publications for multiple years. Mr. Vishnu spends his fast vanishing spare time volunteering and has been a reviewer / judge for competitions like the Grace Hopper Celebration of Women in Computing, at High School conferences like state level DECA, science fairs and other STEAM events for the last several years.

Address:Santa Clara University, , California , California, United States