퇴원율 예측을 위한 J48과 ADTree의 비교 실험

• 영문명: Discharge Rate Expectation using J48 and ADTree
• 발행기관: 한국IT마케팅학회
• 저자명: 최세진(Se jin Choi) 정용규(Yong gyu Jung)
• 간행물 정보: 『한국IT마케팅학회 논문집』한국IT마케팅학회 논문집 1권 1호, 100~101쪽, 전체 2쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2014.11.27

영문 초록

Recently, advances in medical technology so many people wish wants a healthy life was done rapidly. Thus, not only the average life span has risen, has been more and more people are looking for a hospital for a number of reasons. Therefore, in this paper, we look at the data that the patient was analyzed discharge tulle by using the J48 and ADTree of decision tree, let's comparative analysis on the basis of the results of application of both data. In the experiments that target Hospital Name from experimental data, I show the results of the properties of both algorithms are similar. This, it is both algorithms can not be seen to be on an equal footing, which means that more detailed experiments are required. Is more collecting future experimental data, based on this, it is necessary to apply the algorithm from different perspectives. In the future, in order to more accurate experiment, to build similar environmental factors reality, it is to survey and analyze more detailed data.

목차

Abstract

Ⅰ. 서론

Ⅱ. 문헌연구

Ⅲ. 실험

Ⅳ. 평가 및 토의

Ⅴ. 결론

참고문헌

키워드

가지치기(282) ADTree(494) J48(551) Hospital Inpatient Discharges By Facility SPARCS Beginning 2009