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Deep NLP in the Healthcare Industry: Applied Machine Learning and Artificial Intelligence in Rheumatoid Arthritis
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Author(s): Krishnachalitha K. C. (Department of Computer Science, VISTAS, India)and C. Priya (VISTAS, India)
Copyright: 2021
Pages: 15
Source title:
Deep Natural Language Processing and AI Applications for Industry 5.0
Source Author(s)/Editor(s): Poonam Tanwar (Manav Rachna International Institute of Research and Studies, India), Arti Saxena (Manav Rachna International Institute of Research and Studies, India)and C. Priya (Vels Institute of Science, Technology, and Advanced Studies, India)
DOI: 10.4018/978-1-7998-7728-8.ch010
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Abstract
A reliable provocative issue which impacts the joints by harming the body's tissue is called rheumatoid arthritis. The ID of rheumatoid arthritis by hand, particularly during its unanticipated turn of events or pre-expressive stages, requires an extraordinary construction analysis. The standard end technique for rheumatoid arthritis (RA) calls for the assessment of hands and feet radiographs. Still, for clinical experts, it winds up being an unconventional endeavor considering the way that regularly the right completion of the disease relies on the exposure of unfathomably subtle changes for the typical eye. In this work, the authors built a design using convolutional neural networks (CNN) and reinforcement learning technique for detecting RA from hand and wrist MRI. For this, they took 564 cases (real information) which provided a precision of 100%. Compared to the existing system, the system showed a high performance with very good results. This model is highly recommended to detect rheumatoid arthritis automatically without human intervention.
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