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AN ALTERNATIVE APPROACH TO CALCULATING PEAK BONE MINERAL DENSITIES AND PEAK BONE MASSES
Author(s) -
Dilruba Akhter Banu
Publication year - 2019
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2019.v04i07.053
Subject(s) - bone mineral , mineral , mineralogy , mathematics , materials science , geology , medicine , osteoporosis , metallurgy
Polynomial regression analyses, commonly used for curve fitting in Bone Mineral Density (BMD) versus Age or Bone Mineral Content (BMC) versus Age graphs, do not seem to be entirely satisfactory. Instead, LOESS (Locally Weighted Smoothing) regression works better in depicting the trend in experimental results. Bootstrapping method has been employed to generate 100 samples from each set of data obtained from DEXA machines located in different parts of Bangladesh and these have been analyzed using Loess regression to calculate the peak bone mineral density and peak bone mass along with the ages at which they appear at 95% confidence intervals. Results have been discussed in the light of previous ones. Keywords—BMD, BMC, Osteoporosis, Loess, Bootstrapping, T-score

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