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ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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J48 and ADTree for forecast of leaving of hospitals

인공지능연구 / Korean Journal of Artificial Intelligence, (E)2508-7894
2016, v.4 no.1, pp.11-13
https://doi.org/https://doi.org/10.24225/kjai.2016.4.1.10
Halim, Faisal (Department of IT Management, Faculty University)
Muttaqin, Rizal (Department of IT Management, Faculty University)
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Abstract

These days, medical technology has been developed rapidly to meet desire of living healthy life. Average lifespan was extended to let people see a doctor because of many reasons. This study has shown rate of leaving of hospitals to investigate the rate of not only department of surgery but also department of internal medicine. Linear model, tree, classification rule, association and algorithm of data mining were used. This study investigated by using J48 and AD tree of decision-making tree In this study, J48 and AD tree of decision-making tree of data mining were used to investigate based on result of both data. Both algorithms were found to have similar performance. Both algorithms were not equivalent to require detailed experiment. Collect more experimental data in the future to apply from various points of view. Development of medical technology gives dream, hope and pleasure. The ones who suffer from incurable diseases need developed medical technology. Environment being similar to the reality shall be made to experiment exactly to investigate data carefully and to let the ones of various ages visit hospital and to increase survival rate.

keywords
J48 and ADTree, forecast of leaving, hospitals

인공지능연구