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  Published Paper Details:

  Paper Title

REQUIREMENTS AND RELIABILITY OF AI IN THE EXCRETORY SYSTEM

  Authors

  Madanpal Singh

  Keywords

artificial intelligence, machine learning, reliability, medical application, reliability models

  Abstract


Users have control over their health and well-being thanks to AI. AI also enhances the ability of healthcare professionals to recognize the recurring patterns and needs of the patients they look after, allowing them to provide better feedback, guidance, and support for preserving health. In this paper we understand hoe the reliability model works for AI techniques used in excretory problem in medical field. All are important; if AI techniques and equipment are used to cure excretory diseases then reliability model gives the reliability of those particular AI technique in particular excretory diseases.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1134695

  Paper ID - 225021

  Page Number(s) - 863-871

  Pubished in - Volume 7 | Issue 4 | October 2019

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Madanpal Singh,   "REQUIREMENTS AND RELIABILITY OF AI IN THE EXCRETORY SYSTEM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.7, Issue 4, pp.863-871, October 2019, Available at :http://www.ijcrt.org/papers/IJCRT1134695.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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