Intelligent Medical Diagnostic Systems for Arthritis
Sujeet More1, Jimmy Singla2
1Sujeet More, Research Scholar, Department of CSE, Lovely Professional University, (Punjab), India.
2Jimmy Singla, Associate Professor, Department of CSE, Lovely Professional University, (Punjab), India.
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3626-3629 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14550982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1455.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Arthritis is a chronic, an autoimmune disease which may affect in many critical health problems in patients. From the past few years, the number of patients suffering from arthritis are swiftly escalating. Until now there is no accurate treatment discovered for this rare disease. The paper discusses the different machine learning techniques in early detection of Arthritis so that, early diagnosis can help the patients to detect/ cure the disease.
Keywords: Machine Learning, Disease Diagnosis, Rheumatoid Arthritis, Deep Learning.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques