書誌事項
- タイトル別名
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- A machine learning model for improvement of the efficiency of the care-need assessment of the Long-term Care Insurance
- ヨウカイゴニンテイ ギョウム コウリツカ オ メザシタ キカイ ガクシュウ モデル ノ ケントウ
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抄録
<p>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.</p><p>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.</p><p>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.</p>
収録刊行物
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- 日本医療経営学会誌
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日本医療経営学会誌 14 (1), 23-28, 2020
一般社団法人 日本医療経営学会
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詳細情報 詳細情報について
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- CRID
- 1390848647559779584
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- NII論文ID
- 130007919747
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- NII書誌ID
- AA12629272
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- ISSN
- 21878951
- 18837905
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- NDL書誌ID
- 030651703
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可