SimpleKMeans을 이용한 Hospital Outcomes의 Readmission Rate 예측

• 영문명: Readmission Rate Prediction of Hospital Outcomes using SimpleKMeans
• 발행기관: 한국IT마케팅학회
• 저자명: 김홍기(Hong Ki Kim) 정용규(Yong Gyu Jung)
• 간행물 정보: 『한국IT마케팅학회 논문집』한국IT마케팅학회 논문집 1권 1호, 31~32쪽, 전체 2쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2014.11.27

영문 초록

The emergence of the latest developments and latest medical technology, medical devices, and also in th e hospital with the development of increasing therapeutic efficacy of patient medical information, readmissio n rate of the disease, the incidence rate has been lowered again. Thus, each hospital may be to re-estimat e the incidence rate of the disease, based on the hospital, data for patients admitted to hospital readmission rate expected. Thus, in this paper, based on these points and to understand the USA data based on hospital data for the United States to predict readmission rate (Readmission Rate). Experimental method analysis fro m traditional data for predicting the readmission rates by grouping (Classification) technique of K-NN classifi cation scheme based on the USA data. In accordance with experimental results, the ratio between the predi cted and expected readmission rate of data and hospital readmission rates exceeds the data was available o n the data values proportional to increase in accordance with the respective values, according to the conve ntional analytical techniques applied were able to see the data and the difference in classification technique s.

목차

Abstract

Ⅰ. 서론

Ⅱ. 관련연구

Ⅲ. 평가 및 토의

Ⅳ. 결론

참고문헌

키워드

Readmission Rate classification SimpleKmeans K-NN