PRETERM BIRTH PROGNOSTIC PREDICTION USING CROSS DOMAIN DATA FUSION

Authors

  • Malathi .K UG scholars Department of computer Science &Engineering The Kavery Engineering College,Mecheri.
  • Dhivya .E UG scholars Department of computer Science &Engineering The Kavery Engineering College,Mecheri.
  • Monisha .M UG scholars Department of computer Science &Engineering The Kavery Engineering College,Mecheri.
  • Pavithra .P UG scholars Department of computer Science &Engineering The Kavery Engineering College,Mecheri.

Keywords:

Big Data, Data fusion, Data Integration, Cross domain data fusion, precipitation

Abstract

In recent times most of the babies are delivered preterm due to various factors. The risk of complication for premature newborns are increased in future(eg: brain problem, breathing problem, hearing problem etc.).some times infant martality rate increased due to preterm birth. There is a need to predict preterm birth earlier is necessary. To analyze the data of preterm birth only with medical data gives the certain pattern. It is proposed that multiple domain other than medical data is fused to predict the pattern of preterm birth.

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Published

2023-05-20

How to Cite

.K, M., .E, D., .M, M., & .P, P. (2023). PRETERM BIRTH PROGNOSTIC PREDICTION USING CROSS DOMAIN DATA FUSION . International Journal of Communication and Computer Technologies, 7(1), 10–13. Retrieved from https://ijccts.org/index.php/pub/article/view/96

Issue

Vol. 7 No. 1 (2019)

Section

Research Article

License

Copyright (c) 2023 International Journal of communication and computer Technologies

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