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.

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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
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article

Medical Diagnostic System using Embedding JADE in jCOLIBRI

Kiran Malik, Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Purushottam Das
1 citations
Artificial Intelligence in Healthcare
0.71
article

Medical Diagnostic System using Embedding JADE in jCOLIBRI

Kiran Malik, Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Purushottam Das
article en
1 citations

Abstract

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.

Galgotias University (IN), Graphic Era University (IN), Koneru Lakshmaiah Education Foundation (IN)
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare
0.71
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Medical Diagnostic System using Embedding JADE in jCOLIBRI — Kiran Malik, Jagjit Singh Dhatterwal, et al. · (2024) | TGRS Research Map | TGRS