Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups.
about
Risk factors of falls in inpatients and their practical use in identifying high-risk persons at admission: Fukushima Medical University Hospital cohort study.Incidence and characteristic analysis of in-hospital falls after anesthesiaApplying Sequential Analytic Methods to Self-Reported Information to Anticipate Care Needs.Temporal prediction of in-hospital falls using tensor factorisation.
P2860
Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մարտին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Mining geriatric assessment da ...... odels and high-risk subgroups.
@ast
Mining geriatric assessment da ...... odels and high-risk subgroups.
@en
Mining geriatric assessment da ...... odels and high-risk subgroups.
@nl
type
label
Mining geriatric assessment da ...... odels and high-risk subgroups.
@ast
Mining geriatric assessment da ...... odels and high-risk subgroups.
@en
Mining geriatric assessment da ...... odels and high-risk subgroups.
@nl
prefLabel
Mining geriatric assessment da ...... odels and high-risk subgroups.
@ast
Mining geriatric assessment da ...... odels and high-risk subgroups.
@en
Mining geriatric assessment da ...... odels and high-risk subgroups.
@nl
P2093
P2860
P50
P356
P1476
Mining geriatric assessment da ...... odels and high-risk subgroups.
@en
P2093
Mareike Schulze
Mehmet Gövercin
Michael Marschollek
Stefan Rust
P2860
P2888
P356
10.1186/1472-6947-12-19
P577
2012-03-14T00:00:00Z
P5875
P6179
1010578409