원문정보
Prediction of Medical Cost using Linear Regression
초록
영어
To make their profit, insurance companies should collect higher premium than the amount paid to the insured person. Due to this, insurance companies invests a lot of time, effort, and money in creating models that accurately predicts health care costs. In this paper, we analyze the relationship between individual medical data and medical costs. uneffective variables in medical data are eliminated through visualization and statistical hypothesis test, and then predicted health care costs by linear regression analysis of effective variables. As a result, linear regression analysis of medical costs with effective variables improves prediction accuracy.
목차
I. 서론
II. 가설검정을 활용한 유효 변수 채택
III. 유효 변수를 활용한 회귀분석
IV. 결론
감사의 글
참고문헌