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Cited by 27Artificial Intelligence in HealthcareMulti-Agent Systems and NegotiationMetaheuristic Optimization Algorithms Research

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Multi-Agent System based Medical Diagnosis Using Particle Swarm Optimization in Healthcare

Dhatterwal, Jagjit Singh, Singh Naruka, Mahaveer, Kaswan, Kuldeep Singh·2023·2023 International Conference on Artificial Intelligence and Smart Communication (AISC)
DOI 10.1109/aisc56616.2023.10085654
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Abstract

Healthcare is an area that is challenging, dynamic, and diverse. Healthcare in the twenty-first century brings a variety of difficulties (population growth and rising healthcare costs). Compared to the conventional medical system, agent technology can offer superior healthcare for that. Agents in the hospital might deal with a variety of medical issues. We list collaboration across hospital wards, the development of diagnostics, the gathering of patient data, etc. as examples of issues that arise in hospitals. These issues can be resolved with a cooperative This paper proposes a generic architecture that integrates swarm intelligence with multi-agent healthcare systems to provide therapy as efficiently as possible.

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Research works printed but not linked: 11

  1. 10.1016/0933-3657(92)90052-Q · DOI
  2. Iantovics, 2007, The CMDS Medical Diagnosis System. Symbolic and Numeric Algorithms for Scientific Computing, IEEE Computer Society Press, 246
  3. 10.1007/978-3-0348-7976-7_6 · DOI
  4. 10.1080/08839519508945482 · DOI
  5. 10.1093/oso/9780195131581.001.0001 · DOI
  6. Colorni, Distributed optimization by ant colonies, 134
  7. Wang, 2005, A Survey of Swarm Intelligence, Computer Engineering, 31, 194, 10.1063/1.2062963 · DOI
  8. 10.4018/jats.2010100101 · DOI
  9. 2010, IBM and Cerner: Integrated healthcare management solutions, IBM New Orchard Road Armonk, NY 10504U.S.A. Produced in the United States of America March
  10. 2012, High-performance clinical information solutions: Delivering Epic’s market-leading healthcare software on a robust, scalable world-class infrastructure, IBM Route 100 Somers, NY 10589 U.S.A. Produced in the United States of America February
  11. 2010, IBM Health Integration Framework: Accelerating solutions for smarter healthcare, The IBM Health Plan edition, IBM Route 100Somers, NY 10589U.S.A. Produced in the United States of America

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Metadata

Authors
Dhatterwal, J. S., Singh Naruka, M., & Kaswan, K. S.
Affiliations
  • Koneru Lakshmaiah Education Foundation (IN)
  • G L Bajaj Institute of Technology and Management,Greater Noida,India
  • Galgotias University (IN)
ORCID
Venue
2023 International Conference on Artificial Intelligence and Smart Communication (AISC)
Publisher
IEEE
Published
2023-01-27
Pages
889-893
DOI
10.1109/aisc56616.2023.10085654
OpenAlex
W4362496529
Cited by
27
References
0
Citations by year
2026: 2 · 2025: 6 · 2024: 4 · 2023: 15
FWCI
7.47
Type
conference paper
Language
en
Open access
closed
Licence
Locations
International Conference on Artificial Intelligence and Smart Communication (AISC) (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Physical Sciences › Computer Science › Artificial Intelligence › Multi-Agent Systems and Negotiation
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
Keywords
multi-agent systems, diagnosis, particle swarm optimization, swarm intelligence, health care system, patient data collection, healthcare cost reduction

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CoChat. (2026). Citation check: Multi-Agent System based Medical Diagnosis Using Particle Swarm Optimization in Healthcare. https://app.cochat.ai/papers/10.1109/aisc56616.2023.10085654
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Dhatterwal, J. S., Singh Naruka, M., & Kaswan, K. S. (2023). Multi-Agent System based Medical Diagnosis Using Particle Swarm Optimization in Healthcare. 2023 International Conference on Artificial Intelligence and Smart Communication (AISC). https://doi.org/10.1109/aisc56616.2023.10085654