Deep NLP in the Healthcare Industry: Applied Machine Learning and Artificial Intelligence in Rheumatoid Arthritis

Krishnachalitha K. C. Department of Computer Science, VISTAS, India C. Priya VISTAS, India Deep NLP in the Healthcare Industry Applied Machine Learning and Artificial Intelligence in Rheumatoid Arthritis 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. chapter 10 2021 189 203 10.4018/978-1-7998-7728-8.ch010 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-7728-8.ch010 https://www.igi-global.com/viewtitle.aspx?TitleId=284209 European Radiology E.Aizenberg 2019 Automatic quantification of tenosynovitis on MRI of the wrist in patients with early arthritis: A feasibility study Rheumatology M.Boesen 2012 Correlation between computer-aided dynamic gadolinium-enhanced MRI assessment of inflammation and semi-quantitative synovitis and bone marrow oedema scores of the wrist in patients with rheumatoid arthritis—a cohort stud Chokkalingam, S.P., & Komathy, K. (2014). Intelligent Assistive Methods for Diagnosis of Rheumatoid Arthritis Using Histogram Smoothing and Feature Extraction of Bone Images. World Academy of Science, Engineering and Technology International Journal of Computer, Information, Systems and Control Engineering. Computers in Biology and Medicine K.Czaplicka 2015 Automated assessment of synovitis in 0.2T magnetic resonance images of the wrist Applied machine learning and artificial intelligence in rheumatology 2020 Krishnachalitha & Priya. (2021). A Novel Approach for the Early Detection of Rheumatoid Arthritis on Hand and Wrist Using Convolutional Reinforcement Learning Techniques. Annals of the Romanian Society for Cell Biology. Mate & Kureshi (2020). Understanding CNN to Automatically Diagnose Rheumatoid Arthritis using Hand Radiographs. International Journal of Advanced Science and Technology. Annals of the Rheumatic Diseases F. M.McQueen 1998 Magnetic resonance imaging of the wrist in early rheumatoid arthritis reveals a high prevalence of erosions at four months after symptom onset. Acta Radiologica M.Mette Klarlund 1999 Wrist and Finger Joint MR Imaging in Rheumatoid Arthritis 10.1007/s11042-017-5449-4 Murakami, Hatano, Tan, Kim, & Aoki. (2017). Automatic identification of bone erosions in rheumatoid arthritis from hand radiographs based on deep convolutional neural network. Multimed. Tools Appl. 10.1007/s11042-017-5449-4 Murakami, S., Hatano, K., & Tan, J. (2018). Automatic identification of bone erosions in rheumatoid arthritis from hand radiographs based on deep convolutional neural network. Multimed Tools Appl. Swiss Medical Weekly G.Schett 2012 Synovitis an inflammation of joints destroying the bone