Prediction of care class by local additive reference to prototypical examples

Author

Miyano, Takaya ; Tsutsui, Takako ; Seki, Yoichi ; Higashino, Sadanori ; Taniguchi, Hitoshi

Author_Institution

Dept. of Micro Syst. Technol., Ritsumeikan Univ., Shiga, Japan

Volume

9

Issue

4

fYear

2005

Firstpage

502

Lastpage

507

Abstract

The public long-term care insurance program for the elderly in Japan set out in 2000 toward establishing a new system whereby citizens can be assured that they will receive care and be supported by the society as a whole. The insurance program includes computer-aided certification processes to estimate the needs for nursing care for clients. In this work, we show the applicability of an adaptive local nonlinear approximation method associated with the Japanese national database for automatic inference of the care class.

Keywords

adaptive systems; approximation theory; geriatrics; health care; inference mechanisms; insurance data processing; medical administrative data processing; Japan; Japanese national database; adaptive local nonlinear approximation method; automatic inference; computer-aided certification process; computer-aided diagnosis; elders; intelligent data analysis; local additive reference; nursing care; public long-term care insurance program; Approximation methods; Certification; Data analysis; Databases; Insurance; Mathematical model; Medical services; Prototypes; Senior citizens; Societies; Computer-aided diagnosis; intelligent data analysis; local nonlinear approximation; long-term care; Aged; Aged, 80 and over; Decision Support Systems, Clinical; Diagnosis, Computer-Assisted; Diagnosis-Related Groups; Female; Geriatric Assessment; Health Services Accessibility; Health Services for the Aged; Humans; Japan; Male; National Health Programs; Needs Assessment; Nursing Care; Therapy, Computer-Assisted;

fLanguage

English

Journal_Title

Information Technology in Biomedicine, IEEE Transactions on

Publisher

ieee

ISSN

1089-7771

Type

jour

DOI

10.1109/TITB.2005.855565

Filename

1545954