Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/304310
Title: Design and analysis of natureinspired meta heuristic based classifiers for osteoporosis classification
Researcher: Devikanniga D
Guide(s): Joshua Samuel Raj R
Keywords: Engineering and Technology
Engineering
Engineering Multidisciplinary
Osteoporosis
Bone fracture
Natureinspired meta-heuristic
University: Anna University
Completed Date: 2019
Abstract: Osteoporosis is a life threatening bone disease which commonly affects women after their menopause and also the elderly people of above 80 years of age group. It primarily causes mild bone fracture and on extreme situations may even lead to death of an individual The bone becomes more porous and fragile It also causes reduction in height of the patients Early diagnosis of osteoporosis saves the life of the people It helps to provide proper treatment to avoid serious conditions The diagnosis is based on bone mineral density BMD values obtained at preferred skeletal sites such as femoral neck lumbar spine and sometimes at forearm based on guidelines from World Health Organization WHO and National Osteoporosis Foundation newline
Pagination: xxviii,212p
URI: http://hdl.handle.net/10603/304310
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificates.pdf405 kBAdobe PDFView/Open
03_abstracts.pdf837.39 kBAdobe PDFView/Open
04_acknowledgements.pdf251.03 kBAdobe PDFView/Open
05_contents.pdf771.17 kBAdobe PDFView/Open
06_list_of_tables.pdf449.54 kBAdobe PDFView/Open
07_list_of_figures.pdf439.07 kBAdobe PDFView/Open
08_list_of_abbreviations.pdf724.84 kBAdobe PDFView/Open
09_chapter1.pdf4.23 MBAdobe PDFView/Open
10_chapter2.pdf2.6 MBAdobe PDFView/Open
11_chapter3.pdf2.46 MBAdobe PDFView/Open
12_chapter4.pdf8.32 MBAdobe PDFView/Open
13_chapter5.pdf6.02 MBAdobe PDFView/Open
14_chapter6.pdf3.64 MBAdobe PDFView/Open
15_conclusion.pdf1.32 MBAdobe PDFView/Open
16_references.pdf318.52 kBAdobe PDFView/Open
17_list_of_publications.pdf270.95 kBAdobe PDFView/Open
80_recommendation.pdf1.94 MBAdobe PDFView/Open
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