Asia pacific journal of information systems

The Korea Society of Management Information Systems (한국경영정보학회)
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Development of a Medial Care Cost Prediction Model for Cancer Patients Using Case-Based Reasoning

사례기반 추론을 이용한 암 환자 진료비 예측 모형의 개발

  • Published : 2006.06.30
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Abstract

Importance of Today's diffusion of integrated hospital information systems is that various and huge amount of data is being accumulated in their database systems. Many researchers have studied utilizing such hospital data. While most researches were conducted mainly for medical diagnosis, there have been insufficient studies to develop medical care cost prediction model, especially using machine learning techniques. In this research, therefore, we built a medical care cost prediction model for cancer patients using CBR (Case-Based Reasoning), one of the machine learning techniques. Its performance was compared with those of Neural Networks and Decision Tree models. As a result of the experiment, the CBR prediction model was shown to be the best in general with respect to error rate and linearity between real values and predicted values. It is believed that the medical care cost prediction model can be utilized for the effective management of limited resources in hospitals.

Keywords

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