An Implementation of Hospital Management System for Casualty based on Artificial Intelligence

Authors

  • Abhishek Kumar Department of Information Technology JSPM’s RSCOE, Pune, Maharashtra, India
  • Rasika Giri Department of Information Technology JSPM’s RSCOE, Pune, Maharashtra, India
  • Namita Jathe Department of Information Technology JSPM’s RSCOE, Pune, Maharashtra, India
  • Ajinkya Marudwar Department of Information Technology JSPM’s RSCOE, Pune, Maharashtra, India
  • A. N Banubakode Department of Information Technology JSPM’s RSCOE, Pune, Maharashtra, India

Keywords:

Casualty Management, WAP Gateway, General Packet Radio Service (GPRS), Artificial Intelligence, Kohonen’s Network

Abstract

This paper proposes Hospital Management System for Casualty Based on AI. Artificial Intelligence based casualty system provides decision making functionality without human intervention. These days thousands of people die as they do not get medical care within critical time. To get medical facility to the patient on time we have designed this system. Our system uses ANN Algorithm and kohonen’s Algorithm which uses neural network theory for proper decision making and for providing the alerts simultaneously to doctors, ambulance, blood bank, police station and others, for providing medical facilities based on type of casualty in time critical instant.

References

Available from: http://www.calsci.com/ArtHospitalCosts.html

Available from: http://www-cs-faculty. Sta nford.edu/eroberts/courses/soco/projects/neural-networks/Comparison/ comparison. Html.

Available from: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=89.

2380& url=http%3A%2F%2Fieeexplore.

Available from: http://pages.cs.wisc.edu/ bolo/shipyard/neural/local.html.

Available from: http://www.student.nada.kth.se/ d95-tpe/school/wap.pdf.

Available from: http://www.indianchild.com/wap-gateway.htm.

Available from: http://www.4gamericas.org/index.cfm?fuseaction=page & section id=243.

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Published

2014-05-16

Issue

Vol. 1 No. 1 (2014)

Section

Research Articles

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