Abstract
Fetal age and weight estimation plays an important role in pregnant treatments. There are many estimation formulas created by the combination of statistics and obstetrics. However, such formulas give optimal estimation if and only if they are applied into specified community. This research proposes a so-called Phoebe framework that supports physicians and scientists to find out most accurate formulas with regard to the community where scientists do their research. The built-in algorithm of Phoebe framework uses statistical regression technique for fetal age and weight estimation based on fetal ultrasound measures such as bi-parietal diameter, head circumference, abdominal circumference, fetal length, arm volume, and thigh volume. This algorithm is based on heuristic assumptions, which aim to produce good estimation formulas as fast as possible. From experimental results, the framework produces optimal formulas with high adequacy and accuracy. Moreover, the framework gives facilities to physicians and scientists for exploiting useful statistical information under pregnant data. Phoebe framework is a computer software available at http://phoebe.locnguyen.net.
Highlights
Fetal age and weight estimation is to predict the birth weight or birth age before delivery
Applying statistical regression model: Fetal ultrasound measures such as bi-parietal diameter, head circumference, abdominal circumference, fetal length, arm volume, and thigh volume are recorded and considered as input sample for regression analysis which results in a regression function
We make experiments based on Phoebe framework in order to find out optimal formulas for estimating fetus weight and age with note that such formulas are most appropriate to our gestational samples
Summary
Fetal age and weight estimation is to predict the birth weight or birth age before delivery. Fetal age and weight can be estimated according to size of mother womb. Applying statistical regression model: Fetal ultrasound measures such as bi-parietal diameter (bpd), head circumference (hc), abdominal circumference (ac), fetal length (fl), arm volume (arm_vol), and thigh volume (thigh_vol) are recorded and considered as input sample for regression analysis which results in a regression function. This function is formula for estimating fetal age and weight according to ultrasound measures such as bpd, hc, ac, fl, arm_vol, and thigh_vol.
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