Abstract

Fetal age and weight estimation plays the important role in pregnant treatments. There are many estimate 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 or ethnic group with characteristics of such ethnic group. This paper proposes a framework that supports scientists to discover and create new formulas more appropriate to community or region where scientists do their research. The discovery algorithm used inside the framework is the core of the architecture of framework. This algorithm is based on heuristic assumptions, which aims to produce good estimate formula as fast as possible. Moreover, the framework gives facilities to scientists for exploiting useful information under pregnant statistical data

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