Phoebe Framework and Experimental Results for Estimating Fetal Age and Weight

Loc X. Nguyen, Truong-Duyet Phan, Thu-Hang T. Ho
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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. How-ever, 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 ultra- sound 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.
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估算胎儿年龄和体重的Phoebe框架和实验结果
胎儿年龄和体重估计在妊娠治疗中起着重要作用。统计学和产科相结合产生了许多估算公式。然而,当且仅当这些公式应用于特定的群体时,这些公式才给出最优估计。这项研究提出了一个所谓的菲比框架,它支持医生和科学家找到关于科学家进行研究的社区的最准确的公式。Phoebe框架的内置算法使用统计回归技术,根据胎儿的超声测量(如双顶骨直径、头围、腹围、胎儿长度、手臂体积和大腿体积)来估计胎儿的年龄和体重。该算法基于启发式假设,目的是尽可能快地产生好的估计公式。实验结果表明,该框架生成的最优公式具有较高的充分性和准确性。此外,该框架为医生和科学家利用怀孕数据下的有用统计信息提供了便利。Phoebe框架是一个计算机软件,可在http://phoebe.locnguyen.net上获得。
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