Development and validation of clinical prediction model for functional independence measure following stroke rehabilitation

The B-ADL model accurately predicted M-FIM >61 at 90 days post-stroke on the day of admission to the recovery rehabilitation ward. The B-ADL model is useful for optimizing rehabilitation programs and resource allocation, allowing for targeted interventions after stroke.

Authors

Institutions

Publication Details

Journal
Journal of Stroke and Cerebrovascular Diseases
Published
2024-12-13
DOI
https://doi.org/10.1016/j.jstrokecerebrovasdis.2024.108185
Citations
2
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of clinical prediction model for functional independence measure following stroke rehabilitation

Norio Yamamoto, Tetsuya Ueba, Yosuke Tomita, Hitoshi Fukuda et al.
2 citations
Journal of Stroke and Cerebrovascular Diseases
Stroke Rehabilitation and Recovery
0.50
article

Development and validation of clinical prediction model for functional independence measure following stroke rehabilitation

Norio Yamamoto, Tetsuya Ueba, Yosuke Tomita, Hitoshi Fukuda, Toshiya Shinohara, Takeshi Matsumoto, Shinya Fukuda, Takashi Ohno
article en
2 citations

Abstract

The B-ADL model accurately predicted M-FIM >61 at 90 days post-stroke on the day of admission to the recovery rehabilitation ward. The B-ADL model is useful for optimizing rehabilitation programs and resource allocation, allowing for targeted interventions after stroke.

Journal of Stroke and Cerebrovascular DiseasesVol. 34(2)
Takasaki University of Health and Welfare (JP), Yamamoto Hospital (JP), Hashimoto Municipal Hospital (JP), Kōchi University (JP)
Openalex Percentile: Top 28%
Stroke Rehabilitation and Recovery
0.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development and validation of clinical prediction model for functional independence measure following stroke rehabilitation — Norio Yamamoto, Tetsuya Ueba, et al. · Journal of Stroke and Cerebrovascular Diseases (2024) | TGRS Research Map | TGRS