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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM56493
Volume:
10 |
2 |
Feb 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
To live a long and healthy life, which is attainable for many people on this planet, the healthcare industry is crucial. These people make use of medical facilities for treatment, routine examinations, and symptom-based disease diagnosis. By analyzing symptoms, these medical care facilities accurately diagnose a variety of ailments and provide appropriate therapy. But these facilities are under a lot of pressure, and doctors are overworked, because of the huge increase in the global population and the number of people. Hence, technology needs to be integrated into this method to make it more convenient for both patients and health care professionals. For this reason, a Chabot can serve patients well by automatically making accurate diagnoses. Thus, a highly efficient method for an automated Chabot that makes use of Decision Trees, Deep Belief Networks, Linear Regression, and K Nearest Neighbors Clustering. This strategy has been thoroughly tested using the methods described in this paper.
KEYWORDS
Publication Date
11/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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