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

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.