Medical Diagnostic System using Embedding JADE in jCOLIBRI
Case-based reasoning (CBR) methodology presents a foundation for a new technology of building intelligent computer-aided diagnoses systems. This Technology directly addresses the problems found in the traditional Artificial Intelligence (AI) techniques, e.g., the problems of knowledge acquisition, remembering, robustness and maintenance. This paper discusses the CBR methodology, the research issues and the technical aspects of implementing intelligent medical diagnoses systems. It develops a celebrative framework of MAS-CBR to criticize the medical problem to get the best treatment against dengue disease. This paper also embedding the framework of JADE and jCOLIBRI to improve the quality of decision- making in the medical diagnosis field.
Authors
- Kiran Malik (ORCID: https://orcid.org/0009-0005-2927-7008)
- Jagjit Singh Dhatterwal (ORCID: https://orcid.org/0000-0003-2314-2354)
- Kuldeep Singh Kaswan (ORCID: https://orcid.org/0000-0003-0876-0330)
- Purushottam Das (ORCID: https://orcid.org/0000-0001-8302-5489)
Institutions
- Galgotias University (IN)
- Graphic Era University (IN)
- Koneru Lakshmaiah Education Foundation (IN)
Publication Details
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1109/iceect61758.2024.10739193
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.71