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Big data can help assess risk prediction for osteoporosis, fractures

February 15, 2021

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Years of suffering and billions of euro in global health care costs, arising from osteoporosis-related bone fractures, could be eliminated using big data to target vulnerable patients, according to researchers at Lero, the Science Foundation Ireland Research Centre for Software.

A study of 36,590 patients who underwent bone mineral density scans in the West of Ireland between January 2000 and November 2018, found that many fractures are potentially preventable by identifying those at greatest risk before they fracture, and initiating proven, safe, low-cost effective interventions.

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