日本医療経営学会誌
Online ISSN : 2187-8951
Print ISSN : 1883-7905
ISSN-L : 1883-7905
原著
要介護認定業務効率化を目指した機械学習モデルの検討
神谷 達夫岡本 悦司
著者情報
キーワード: 機械学習, 要介護認定
ジャーナル フリー

2020 年 14 巻 1 号 p. 23-28

詳細
抄録

The collection, organization, and analysis of data in the healthcare and welfare administration involves a huge amount of manual work. The authors believe that efficiency can be improved by applying machine learning technology.

In this paper, the authors used a logistic regression model as a machine learning model. As a result a logistic regression analysis model, the authors were able to create a model that reproduced the judgment processes of the care-need assessment committees based on the precedents of the secondary review of the initial computer assessment.

The authors believe that this method is effective for improving the efficiency of data collection, organization and analysis in health care and welfare administration and could be used to streamline other tasks.

著者関連情報
© 2020 一般社団法人 日本医療経営学会
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