D1-1 自己組織化マップを用いた疾病別在院日数予測精度の評価(D1 学生・会員,一般講演)

抄録

Diagnosis Procedure Combination / Per-Diem Payment System (DPC/PDPS), which has been introduced since 2003, standardizes medical records. It is possible to collect analyzable clinical information nationwide as the uniform format (DPC formatted data) from medical centers and hospitals. In this paper, we describe a prediction method of a length of stay in the hospital from DPC data using Self-Organizing Maps (SOM) and its evaluation of predictability for different diseases. By the result of an experiment, it was confirmed that the proposed SOM prediction method was superior to the method using mean values of length of stay in hospital in 71 % of diseases to evaluate.