Machine learning for predicting the risk of osteoporosis from patient attributes, health and lifestyle history
The most widely-used method for diagnosis of osteoporosis is to determine bone mineral density (BMD) by bone densitometry. At present mass screening is not, on the basis of resource constraints, considered a option. This project investigates if artificial neural networks (ANN s) or Baysian networks...
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Cranfield University
2004
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414621 |