首页> 外文会议>International Conference on Intelligent Systems >Fuzzy Predictive Model for Estimating the Risk Level of Maternal Mortality while Childbirth
【24h】

Fuzzy Predictive Model for Estimating the Risk Level of Maternal Mortality while Childbirth

机译:估算分娩时孕产妇死亡率风险水平的模糊预测模型

获取原文

摘要

The paper proposes a predictive model to estimate the risk level of maternal mortality while giving birth using fuzzy logic. The model is developed based on the fuzziness of following variables: place, total children, antenatal visits, blood pressure checked, tetanus injection taken, iron tablets/syrup taken, habit of watching television. The Mamdani fuzzy inference method is used and the output generated by the model is the risk level in percentage. 23 rules are generated based on the inputs and a real data set is used to validate the model. Moreover, an ANFIS model is generated. Confusion matrices are used to evaluate the accuracy, sensitivity and specificity of both models. Fuzzy predictive model has an edge over the ANFIS model in terms of accuracy, sensitivity and specificity. Fuzzy predictive model has an accuracy of 88.95 percent which is reliable and can be deployed in remote areas to help in dealing the problem of maternal mortality.
机译:本文提出了一种预测模型,以估算使用模糊逻辑分娩时孕产妇死亡率的风险水平。该模型是基于以下变量的模糊性开发的:地点,总儿童,产前参观,血压检查,滴注,铁片/糖浆,看电视的习惯。使用Mamdani模糊推理方法,模型产生的输出是百分比的风险等级。基于输入生成23规则,并且使用实际数据集用于验证模型。此外,生成了ANFI模型。混淆矩阵用于评估两种模型的精度,灵敏度和特异性。模糊预测模型在准确性,灵敏度和特异性方面具有ANFI模型的优势。模糊预测模型的准确性为88.95%,可靠,可以在偏远地区部署,以帮助处理孕产妇死亡的问题。

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