Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4966576 | International Journal of Medical Informatics | 2017 | 5 Pages |
Abstract
We studied five models for identifying health-guidance candidates. The model that used all health checkup results from the past year had the highest predictive power. Application of the prediction model developed in the present study to the selection of health-guidance candidates could reduce the cost of guidance.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Daisuke Ichikawa, Toki Saito, Hiroshi Oyama,