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Expert Systems for Healthcare

Kumar, Narendra ; Kumar, Krishna LU orcid and Ram, Indradeo (2024) p.1-15
Abstract

There has long been a consensus that healthcare systems play a critical role in enhancing human well-being and contributing to a healthy society. Efforts should be made to promote public awareness and execute necessary measures to improve healthcare. Because of this, a computer-based system is created to allow individuals to self-diagnose their health state based on specified symptoms. This approach should be stressed so that individuals may appropriately use the knowledge as a reference to live a better life. Web-based Community Center for Healthcare Diagnosis is designed using an expert system method. Treatment and prevention of illness may be determined using expert system reasoning techniques, which are implemented into the system.... (More)

There has long been a consensus that healthcare systems play a critical role in enhancing human well-being and contributing to a healthy society. Efforts should be made to promote public awareness and execute necessary measures to improve healthcare. Because of this, a computer-based system is created to allow individuals to self-diagnose their health state based on specified symptoms. This approach should be stressed so that individuals may appropriately use the knowledge as a reference to live a better life. Web-based Community Center for Healthcare Diagnosis is designed using an expert system method. Treatment and prevention of illness may be determined using expert system reasoning techniques, which are implemented into the system. At the moment, arthritis, thalassemia, and pneumococcal are included in the list of illnesses. The knowledge-based system manages sets of rules and facts. Web-based technology is used to spread information to users so that they may utilize it to their advantage. By using self-diagnosis for early illness identification, this approach will assist those who want to raise their health awareness and seek professional information about diseases.

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Please use this url to cite or link to this publication:
author
; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Artificial intelligence, Data mining, Decision support systems, Healthcare, Knowledge-based systems, Machine learning
host publication
IoT-Enabled Healthcare : Systems Applications, Benefits, and Challenges - Systems Applications, Benefits, and Challenges
pages
15 pages
publisher
Apple Academic Press
external identifiers
  • scopus:85215993803
ISBN
9781040104187
9781774916841
language
English
LU publication?
no
additional info
Publisher Copyright: © 2025 by Apple Academic Press, Inc.
id
179c5bda-97f8-49d7-9de0-20e6d24efb66
date added to LUP
2025-05-16 09:26:30
date last changed
2025-07-11 13:43:01
@inbook{179c5bda-97f8-49d7-9de0-20e6d24efb66,
  abstract     = {{<p>There has long been a consensus that healthcare systems play a critical role in enhancing human well-being and contributing to a healthy society. Efforts should be made to promote public awareness and execute necessary measures to improve healthcare. Because of this, a computer-based system is created to allow individuals to self-diagnose their health state based on specified symptoms. This approach should be stressed so that individuals may appropriately use the knowledge as a reference to live a better life. Web-based Community Center for Healthcare Diagnosis is designed using an expert system method. Treatment and prevention of illness may be determined using expert system reasoning techniques, which are implemented into the system. At the moment, arthritis, thalassemia, and pneumococcal are included in the list of illnesses. The knowledge-based system manages sets of rules and facts. Web-based technology is used to spread information to users so that they may utilize it to their advantage. By using self-diagnosis for early illness identification, this approach will assist those who want to raise their health awareness and seek professional information about diseases.</p>}},
  author       = {{Kumar, Narendra and Kumar, Krishna and Ram, Indradeo}},
  booktitle    = {{IoT-Enabled Healthcare : Systems Applications, Benefits, and Challenges}},
  isbn         = {{9781040104187}},
  keywords     = {{Artificial intelligence; Data mining; Decision support systems; Healthcare; Knowledge-based systems; Machine learning}},
  language     = {{eng}},
  month        = {{01}},
  pages        = {{1--15}},
  publisher    = {{Apple Academic Press}},
  title        = {{Expert Systems for Healthcare}},
  year         = {{2024}},
}