Multidimensional standard curve for the development process of human fetuses.
The present paper considers a multidimensional view of the standard for the development process of human fetuses. An efficient method by which to find a multidimensional standard curve for the development process of human fetuses is proposed in which a logistic function with three parameters is utilized as an underlying model and a nonlinear regression method is applied. The proposed method also identifies an approximate prediction region, which can be efficiently applied to diagnose fetal malformation.
Naito
K
K
Department of Mathematics, Faculty of Science and Engineering, Shimane University, 1060 Nishi-Kawatsu, Matsue 690-8504, Japan. naito@riko.shimane-u.ac.jp
Udagawa
J
J
Otani
H
H
D000465:Algorithms; D044466:Asian People; D000013:Congenital Abnormalities / Q000175:diagnosis; D018568:Crown-Rump Length; D047109:Fetal Development; D005317:Fetal Growth Retardation / Q000175:diagnosis; D005333:Fetus / Q000002:abnormalities / Q000033:anatomy & histology*; D006257:Head / Q000033:anatomy & histology / Q000196:embryology; D006801:Humans; D006811:Humerus / Q000033:anatomy & histology / Q000196:embryology; D007564:Japan; D016013:Likelihood Functions; D016015:Logistic Models; D015233:Models, Statistical; D015999:Multivariate Analysis; D012016:Reference Values; D013848:Thigh / Q000033:anatomy & histology / Q000196:embryology; D013909:Thorax / Q000033:anatomy & histology / Q000196:embryology