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
Published in | Journal of Gynecology and Obstetrics (Volume 2, Issue 2) |
DOI | 10.11648/j.jgo.20140202.13 |
Page(s) | 20-25 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Fetal Age Estimation, Fetal Weight Estimation, Regression Model, Estimate Formula
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[4] | Fusun Varol, Ahmet Saltik, Petek Balkanli Kaplan, Tulay Kilic and Turgut Yardim (2001). Evaluation of Gestational Age Based on Ultrasound Fetal Growth Measurements. Yonsei Medical Journal, vol. 42, No 3, pp. 299-303. |
[5] | Hang Ho, Duyet Phan (2011). Ước lượng cân nặng của thai từ 37 – 42 tuần bằng siêu âm 2 chiều. Tạp chí Y học thực hành số 12 (797) năm 2011, tr. 8 - 9. |
APA Style
Phuoc-Loc Nguyen, Thu-Hang Ho-Thi. (2014). A Framework of Fetal Age and Weight Estimation. Journal of Gynecology and Obstetrics, 2(2), 20-25. https://doi.org/10.11648/j.jgo.20140202.13
ACS Style
Phuoc-Loc Nguyen; Thu-Hang Ho-Thi. A Framework of Fetal Age and Weight Estimation. J. Gynecol. Obstet. 2014, 2(2), 20-25. doi: 10.11648/j.jgo.20140202.13
AMA Style
Phuoc-Loc Nguyen, Thu-Hang Ho-Thi. A Framework of Fetal Age and Weight Estimation. J Gynecol Obstet. 2014;2(2):20-25. doi: 10.11648/j.jgo.20140202.13
@article{10.11648/j.jgo.20140202.13, author = {Phuoc-Loc Nguyen and Thu-Hang Ho-Thi}, title = {A Framework of Fetal Age and Weight Estimation}, journal = {Journal of Gynecology and Obstetrics}, volume = {2}, number = {2}, pages = {20-25}, doi = {10.11648/j.jgo.20140202.13}, url = {https://doi.org/10.11648/j.jgo.20140202.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jgo.20140202.13}, 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}, year = {2014} }
TY - JOUR T1 - A Framework of Fetal Age and Weight Estimation AU - Phuoc-Loc Nguyen AU - Thu-Hang Ho-Thi Y1 - 2014/03/30 PY - 2014 N1 - https://doi.org/10.11648/j.jgo.20140202.13 DO - 10.11648/j.jgo.20140202.13 T2 - Journal of Gynecology and Obstetrics JF - Journal of Gynecology and Obstetrics JO - Journal of Gynecology and Obstetrics SP - 20 EP - 25 PB - Science Publishing Group SN - 2376-7820 UR - https://doi.org/10.11648/j.jgo.20140202.13 AB - 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 VL - 2 IS - 2 ER -