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2017 | OriginalPaper | Chapter

An Approach for Imputation of Medical Records Using Novel Similarity Measure

Authors : Yelipe UshaRani, P. Sammulal

Published in: Recent Advances in Soft Computing

Publisher: Springer International Publishing

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Abstract

Missing values are quite common in medical records. Fixing missing values is a challenging task to data mining analysts as any error in imputation process leads to potential hazards. In the present research, the main objective is to impute missing values using a new similarity measure and applying class based cluster approach which is used to perform dimensionality reduction. The proposed approach is demonstrated using an effective case study. The results show the proposed measure performs better and is efficient.

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Metadata
Title
An Approach for Imputation of Medical Records Using Novel Similarity Measure
Authors
Yelipe UshaRani
P. Sammulal
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-58088-3_21

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