Abstract：
:This paper studied two different regression techniques for pelvic shape prediction, i.e., the partial least square regression (PLSR) and the principal component regression (PCR). Three different predictors such as surface landmarks, morphological parameters, or surface models of neighboring structures were used in a cross-validation study to predict the pelvic shape. Results obtained from applying these two different regression techniques were compared to the population mean model. In almost all the prediction experiments, both regression techniques unanimously generated better results than the population mean model, while the difference on prediction accuracy between these two regression methods is not statistically significant (α=0.01).
journal_name
J Biomechjournal_title
Journal of biomechanicsauthors
Schumann S,Nolte LP,Zheng Gdoi
10.1016/j.jbiomech.2012.11.005subject
Has Abstractpub_date
2013-01-04 00:00:00pages
197-9issue
1eissn
0021-9290issn
1873-2380pii
S0021-9290(12)00657-4journal_volume
46pub_type
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