• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Food Science Nutrition >Building a prediction model for iron deficiency anemia among infants in Shanghai China
【2h】

Building a prediction model for iron deficiency anemia among infants in Shanghai China

机译：建立中国上海市婴儿铁缺乏性贫血的预测模型

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Iron deficiency anemia (IDA) is a common micronutrient deficiency worldwide in infants. Iron deficiency anemia, during infancy, can have long‐lasting detrimental effects on the immune and neural systems; the damage is irreversible. This study aimed to build a prediction model to predict the potential risk of IDA among infants. To collect relevant information for model building, we recruited 528 infants from Fenglin Community Health Service Center in Shanghai, China, and collected the information of infants and their parents by using a structured questionnaire. We also got the blood routine examination results of the infants. Then, we used a multilayer perceptron model (MLP) of the neural network model in IBM SPSS Modeler 18.0 to construct the prediction model. Of the 528 included infants, 80 (15.2%) of them had lower hemoglobin values (<110 g/L) and were finally diagnosed with IDA. Based on the accuracy of different models, the model with the highest accuracy rate (97.3%) was chosen, and all the preselected 26 variables were included in the model. After the modeling, the results indicated that the number of months of exclusive breastfeeding was the most important predictive variable, followed by the mother having anemia during pregnancy, and then the number of months of feeding the infant with iron‐fortified rice flour. The model has good sensitivity (100%) and specificity (100%). By using this model, we can predict the potential risk of an infant having IDA and can take the initiative to prevent iron deficiency through the improvement of feeding methods.
机译：缺铁性贫血（IDA）是全世界婴儿中常见的微量营养素缺乏症。婴儿期缺铁性贫血会对免疫和神经系统产生长期有害影响；损害是不可逆的。这项研究旨在建立一个预测模型，以预测婴儿中IDA的潜在风险。为了收集有关建模的信息，我们从中国上海市枫林社区卫生服务中心招募了528名婴儿，并使用结构化问卷调查收集了婴儿及其父母的信息。我们还获得了婴儿的血液常规检查结果。然后，我们在IBM SPSS Modeler 18.0中使用了神经网络模型的多层感知器模型（MLP）来构建预测模型。在528名婴儿中，有80名（15.2％）的血红蛋白值较低（<110 g / L），并最终被诊断出患有IDA。根据不同模型的准确性，选择了具有最高准确率（97.3％）的模型，并将所有预先选择的26个变量都包括在模型中。在建模之后，结果表明纯母乳喂养的月数是最重要的预测变量，其次是母亲在怀孕期间患贫血，然后是婴儿用铁强化米粉喂养的月数。该模型具有良好的灵敏度（100％）和特异性（100％）。通过使用该模型，我们可以预测患有IDA的婴儿的潜在风险，并可以通过改进喂养方法主动预防铁缺乏。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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