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Early Prenatal Diagnosis of Down's Syndrome-A Machine Learning Approach

机译：早期产前诊断下降综合征 - 机器学习方法

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摘要

A chromosomal disorder called Down's syndrome is a disorder where the disability is seen at the intellectual level. It further shows up a prominent change in the appearance of the face, and often accompanied by an unhealthy muscle tone during infancy. Trisomy-21 is the cause of such conditions in many cases. This research article focuses to improve the quality of health care by using smart technologies. A smart healthcare system that is based on the use of machine learning methods in the detection of presence of trisomy-21 disorder in a fetus is implemented. The system is trained using medical data consisting of a well-defined set of features. The feature set consists of features representing both maternal and fetal data. The proposed Down Syndrome Detection (DSD) system produces better accuracy in terms of precision, recall, and F-measure in classifying an unknown test sample.
机译：致染症综合征的染色体疾病是在智力层面看到残疾的疾病。它进一步展现了面部外观的突出变化，并且经常伴随着婴儿期间的不健康的肌肉。 Trisomy-21是许多情况下这种情况的原因。本研究文章侧重于使用智能技术提高医疗保健质量。实施了一种智能医疗保健系统，该系统基于在检测到胎儿中三元21紊乱的存在下的机器学习方法的使用。使用由定义的一组特征组成的医疗数据训练系统。该功能集包括代表母体和胎儿数据的功能。提出的唐氏综合征检测（DSD）系统在分类​​未知测试样品的精确度，召回和F测量方面产生更好的准确性。

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