Title :
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
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;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2005.855565
