Predicting transitional interval of kidney disease stages 3 to 5 using data mining method

Patcharaporn Panwong, Natthakan Iam-On

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

16 Citations (SciVal)

Abstract

The number of kidney disease patients, one of the worldwide public health problems, has been increased yearly. Due to the high possibility of death within a short period of time, a patient must be hospitalized and appropriately cured since the first day of being diagnosed as stage 3. This is due to the fact that the patient's stage progression depends pretty much on medical history and treatment. Moreover, kidney dialysis for the stage-5 patient and end stage can be very costly, where few can afford this treatment, especially in Thailand. The challenging issue is to disclose patterns of transitional interval, with the possibility to delay the stage development. Therefore, the main objective of this study is to create a classification model for predicting transitional interval of Kidney disease stages 3 to 5. The existing medical records of Hemodialysis patient from Phan Hospital, Chiang Rai, Thailand, have been exploited as the case study. Decision tree, K-nearest neighbor, Naïve Bayes and Artificial neural networks were used for eliciting the knowledge and creating classification model with the selected set of attributes. Based on the experiment results, the proposed classification framework is promising as a decision support tool. This can also be useful for Thai armed forces, especially since a large sum of budget and resources have been allocated to staffs and relatives with kidney disease.

Original languageEnglish
Title of host publication2016 2nd Asian Conference on Defence Technology, ACDT 2016
PublisherIEEE Press
Pages145-150
Number of pages6
ISBN (Electronic)9781509022571
DOIs
Publication statusPublished - 21 Mar 2016
Event2nd Asian Conference on Defence Technology, ACDT 2016 - Chiang Mai, Thailand
Duration: 21 Jan 201626 Jan 2016

Publication series

Name2016 2nd Asian Conference on Defence Technology, ACDT 2016

Conference

Conference2nd Asian Conference on Defence Technology, ACDT 2016
Country/TerritoryThailand
CityChiang Mai
Period21 Jan 201626 Jan 2016

Keywords

  • Classification
  • Data mining
  • Hemodialysis (HD)
  • Kidney disease

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