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

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1048))

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Abstract

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.

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Authors and Affiliations

  1. St. Joseph’s College of Engineering, Chennai, India

    Esther Hannah, Lilly Raamesh &  Sumathi

Authors
  1. Esther Hannah
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  2. Lilly Raamesh
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  3. Sumathi
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Corresponding author

Correspondence to Esther Hannah .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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Hannah, E., Raamesh, L., Sumathi (2020). Early Prenatal Diagnosis of Down’s Syndrome-A Machine Learning Approach. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1048. Springer, Singapore. https://doi.org/10.1007/978-981-15-0035-0_37

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