The Use of Artificial Neural Networks to Predict Osteoporosis
Harrison, R.F., Kennedy, R.L. and Eastell, R.
(1994)
The Use of Artificial Neural Networks to Predict Osteoporosis.
Research Report.
ACSE Research Report 523
.
Department of Automatic Control and Systems Engineering
Abstract
Osteoporosis arises when the bone lose sufficient mineral to allow fractures to develop after only minimal trauma. It is an extremely common condition in post-menopausal women and is becoming more common because of the increasing number of elderly women in the population. The most devastating effects of osteoporosis arise when the patient fractures either the hip or the vertebrae. These conditions are painful and disabling and are frequently the precipitating factor for an elderly person having to give up an independent existence. The cost of treating the results of osteoporosis fractures is immense. We now have accurate and widely applicable methods for measuring the bone density and thus identifying patients at risk. However, the necessary scanners are not widely available and it is not thought to be profitable to screen the entire population at risk with bone scanners........
Metadata
Item Type:
Monograph
Authors/Creators:
Harrison, R.F.
Kennedy, R.L.
Eastell, R.
Copyright, Publisher and Additional Information:
The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
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