P-ISSN: 2707-5923, E-ISSN: 2707-5931
Printed Journal | Refereed Journal | Peer Reviewed Journal
2020, Vol. 1, Issue 1, Part A
Emergency hospital admission prediction using data mining techniques
Author(s): Mekala Ramadarsan
Abstract: Congestion in Emergency Departments (ED's) greatly affects the patients alongside negative outcomes. In this way it gets critical to discover creative strategies to improve patient stream and avoid stuffing. This should be possible with the assistance of various AI systems to foresee the emergency clinic affirmations from ED. This will help in asset arranging of clinic too. The paper comprises of overview of the various strategies utilized for expectation. The paper likewise comprises the usage aftereffect of three distinct strategies for the AI procedures alongside its outcome’s examination.
DOI: 10.33545/27075923.2020.v1.i1a.7
Pages: 27-31 | Views: 637 | Downloads: 183
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How to cite this article:
Mekala Ramadarsan. Emergency hospital admission prediction using data mining techniques. Int J Circuit Comput Networking 2020;1(1):27-31. DOI: 10.33545/27075923.2020.v1.i1a.7
