首页> 外文会议>International Conference on Information Technology in Bio- and Medical Informatics >Quantitative Fetal Growth Curves Comparison: A Collaborative Approach
【24h】

Quantitative Fetal Growth Curves Comparison: A Collaborative Approach

机译:定量胎儿生长曲线比较:协同方法

获取原文
获取外文期刊封面目录资料

摘要

The general idea underlying Intrauterine Growth Curves (IGC) is simple and effective: fetuses grow up showing a regular trend, if they are too large or small for the gestational age, they are potentially pathologic and further exams are needed. Growth trends can be easily evaluated by means of ultrasound scanners, but no single standard, from literature or from practitioners' organizations, seems to satisfy the desired requirements of precision and accuracy. On the contrary, failure rates as high as 50% are achieved. The problem is that several patient-related factors, such as ethnic group, food, sex (of fetus), drugs and smoke, must be taken into account to select the "right" IGC. In this perspective, starting from the quantitative comparison of growth trends from literature, we propose a collaborative approach and an online system to create personalized IGCs. The approach is tested on real patients and the preliminary results are discussed.
机译:宫内生长曲线(IGC)潜在的概念简单有效:胎儿成长显示常规趋势,如果它们太大或小于孕龄,它们可能是潜在的病理和进一步的考试。通过超声扫描仪可以轻松评估增长趋势,但没有单一标准,从文学或从业者的组织,似乎满足精度和准确性的所需要求。相反,实现高达50%的失败率。问题是,必须考虑到几种患者相关因素,例如族群,食物,性别(胎儿),毒品和烟雾,选择“右”IGC。在这种观点中,从文献的增长趋势的定量比较开始,我们提出了一种协作方法和在线系统来创建个性化IGC。该方法在真正的患者上测试,讨论了初步结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号