Fuzzy Cognitive Maps based Mathematical Model for Prediction of “Parkinson Disease”
Dhirendra Kumar Shukla1, Manoj Sharma2
1Dhirendra Kumar Shukla*, Assistant Professor, Department of Education in Science and Mathematics, Regional Institute of Education, Bhopal (M.P.), India.
2Manoj Sharma, Professor& Head, Department of Applied Sciences, Sagar Institute of Research and Technology, Bhopal (M.P.), India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 1146-1149 | Volume-8 Issue-6, March 2020. | Retrieval Number: A1969058119/2020©BEIESP | DOI: 10.35940/ijrte.A1969.038620
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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: This note explains about “Parkinson Disease which may be a long-term disorder of the central nervous system”. The research paper focuses on analysis of symptoms of “Parkinson Disease” to predict the disease in early stage. Concept of FCMs was used to interpret the diagnostic symptoms of “Parkinson Disease”. The target is to draw connection between the symptoms and provide likely explanation.
Keywords: FCMs, IFCMs, Symptoms of “Parkinson Disease”, Understanding of Disease.
Scope of the Article: Cognitive radio networks.