Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/6651
Title: Machine Learning Approaches for Early Diagnosis and Prediction of Fetal Abnormalities
Authors: R.Chinnaiyan
Keywords: Computer Science / Information Science
Issue Date: Jun-2021
Publisher: IEEE Xplore
Abstract: Fetal Health denotes the health and growth of the fetal and frequent contacts in the uterus of the pregnant women during pregnancy. Maximum pregnancy period complexities leads fetal to a severe difficulty which limits right growth that causes deficiency or death. Harmless pregnancy period by predicting the risk levels before the occasion of difficulties boost right fetal growth. Forecasting the fetal health and growth state from a set of pre-classified patterns knowledge is vital in developing a predictive classifier model using Machine Learning Algorithms.
URI: http://localhost:8080/xmlui/handle/123456789/6651
Appears in Collections:2021

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