Artificial neural networks to predict future bone mineral density and bone loss rate in Japanese postmenopausal women.

ABSTRACT:

Objective

Predictions of the future bone mineral density and bone loss rate are important to tailor medicine for women with osteoporosis, because of the possible presence of personal risk factors affecting the severity of osteoporosis in the future. We investigated whether it was possible to predict bone mineral density and bone loss rate in the future using artificial neural networks.

Results

A total of 135 women over 50 years old residing in T town of Wakayama Prefecture, Japan were analyzed to establish a statistical model. Artificial neural networks models were constructed using the two variables of bone mineral density and bone loss rate. The multiple correlation coefficients between the actual and measured values for lumbar and femoral bone mineral densities in 2003 sh

SUBMITTER: Shioji M 

PROVIDER: S-EPMC5681768 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature