New algorithms study findings have been reported from Merck & Company, Inc.

Researchers detail in "An approach for identifying postmenopausal women age 50-64 years at increased short-term risk for osteoporotic fracture," new data in algorithms. "Using data from NORA, we used 18 potential risk factors in a classification and regression tree analysis to build two algorithms. These algorithms correctly identified postmenopausal women between the ages of 50 and 64 years who were at the highest risk of osteoporotic fracture within 36 months. The objective was to develop algorithms that best predict short-term fracture risk (3 years) in postmenopausal women 50-64 years old," scientists in the United States report.

"Data were from 91,652 women who...

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