Fuzzification Based Osteoporosis Prediction Model
Kumar Shilpa1, Shubangi D C2

1Kumar Shilpa*, Department of CSE, PDA College of Engineering, Kalaburagi, India.
2Shubangi D C, Head of the Department & Professor, Department of Computer Science, Visvesvarya Technological University, Kalaburagi, India.

Manuscript received on April 01, 2021. | Revised Manuscript received on April 08, 2021. | Manuscript published on April 30, 2021. | PP: 28-31 | Volume-10 Issue-6, April 2021 | Retrieval Number: 100.1/ijitee.F87290410621| DOI: 10.35940/ijitee.F8729.0410621
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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: Osteoporosis is a disease in which bones become fragile and more likely to break. Osteoporosis can progress painlessly until it causes a bone fracture or a bone break. Dual Energy X-ray Absorptiometry (DEXA) is more costly and not accessible easily so we are using Fuzzy Inference system to predict osteoporosis. In this fuzzy logic, we collect risk factors and rules for osteoporosis and build a interface which take inputs and predicts if a person has osteoporosis. In the following Literature survey, we will take risk factors, rules, and ways to implement them. Around the world, 33% of women and 20% men over the age of 50 will suffer a fracture caused by Osteoporosis. Osteoporosis is a disease in which Bones become shallow and are fractured. If predicted before, quality of life will increase and severe surgery may be avoided. 
Keywords: Osteoporosis, Fuzzy-logic, Risk-Factors, Rules.