Classification of osteoporosis by artificial neural network based on monarch butterfly optimisation algorithm

Classification of osteoporosis by artificial neural network based on monarch butterfly optimisation algorithm

Osteoporosis is a life threatening disease which commonly affects women mostly after their menopause. It primarily causes mild bone fractures, which on advanced stage leads to the death of an individual. The diagnosis of osteoporosis is done based on bone mineral density (BMD) values obtained throug...

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Bibliographic Details
Main Authors: D. Devikanniga, R. Joshua Samuel Raj
Format: Article
Language:English
Published: Wiley 2018-05-01
Series:Healthcare Technology Letters
Subjects:
diseases
bone
neural nets
optimisation
sensitivity analysis
pattern classification
medical diagnostic computing
patient diagnosis
orthopaedics
Wilcoxon signed-rank test
receiver operating characteristics analysis
lumbar spine dataset
femoral neck dataset
10-fold cross-validation method
monarch butterfly optimisation-based artificial neural network classifier
osteoporotic patient
hybrid classifier model
skeletal regions
clinical methods
BMD values
bone mineral density
osteoporosis diagnosis
mild bone fractures
menopause
life threatening disease
monarch butterfly optimisation algorithm
osteoporosis classification
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2017.0059

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https://digital-library.theiet.org/content/journals/10.1049/htl.2017.0059

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