An analysis of missing data treatment methods and their application to health care dataset

Peng Liu, Elia El-Darzi, Lei Lei, Christos Vasilakis, Panagiotis Chountas, Wei Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

It is well accepted that many real-life datasets are full of missing data. In this paper we introduce, analyze and compare several well known treatment methods for missing data handling and propose new methods based on Naive Bayesian classifier to estimate and replace missing data. We conduct extensive experiments on datasets from UCI to compare these methods. Finally we apply these models to a geriatric hospital dataset in order to assess their effectiveness on a real-life dataset.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages583-590
Number of pages8
Publication statusPublished - 1 Dec 2005
Event1st International Conference on Advanced Data Mining and Applications, ADMA 2005 - Wuhan, China
Duration: 22 Jul 200524 Jul 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3584 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Advanced Data Mining and Applications, ADMA 2005
CountryChina
CityWuhan
Period22/07/0524/07/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P., & Huang, W. (2005). An analysis of missing data treatment methods and their application to health care dataset. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 583-590). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3584 LNAI).