Supervised machine learning techniques for predicting the risk levels of gestational diabetes mellius
By: Nagarajan, Sridevanai.
Contributor(s): Chandrasekaran, R. M | Ramasubramaniam, P.
Publisher: Delhi Research India Publication 2018Edition: Vol. 11(2), July-December.Description: 101-109.Subject(s): EXTC Engineering In: Advances in wireless and mobile communications (AWMC)Summary: The objective of this paper is to desing a unique system that helps to diagnose risk. levels in the predictiion of potential diabetics among pregnant women using supervise machine learning techniques of data mining........Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database | School of Engineering & Technology Archieval Section | Not for loan | 2018126 |
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The objective of this paper is to desing a unique system that helps to diagnose risk. levels in the predictiion of potential diabetics among pregnant women using supervise machine learning techniques of data mining........
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