Prediction of Ambulatory Outcomes after Spinal Cord Injury：Approaches Using Statistical Models and Machine Learning

Authors

Publication Details

Journal
The Japanese Journal of Rehabilitation Medicine
Published
2025-08-18
DOI
https://doi.org/10.2490/jjrmc.62.803
Primary Topic
Medical Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of Ambulatory Outcomes after Spinal Cord Injury：Approaches Using Statistical Models and Machine Learning

Seiji Ohtori, Kyota Kitagawa, Takaki Kitamura, Satoshi Maki et al.
The Japanese Journal of Rehabilitation Medicine
Medical Imaging and Analysis
article

Prediction of Ambulatory Outcomes after Spinal Cord Injury：Approaches Using Statistical Models and Machine Learning

Seiji Ohtori, Kyota Kitagawa, Takaki Kitamura, Satoshi Maki, Takashi Hozumi
article en

Abstract

No abstract available for this paper.
The Japanese Journal of Rehabilitation MedicineVol. 62(8)
Openalex Percentile: Top 72%
Medical Imaging and Analysis
DOISourceOpenAlex
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.

Prediction of Ambulatory Outcomes after Spinal Cord Injury：Approaches Using Statistical Models and Machine Learning — Seiji Ohtori, Kyota Kitagawa, et al. · The Japanese Journal of Rehabilitation Medicine (2025) | TGRS Research Map | TGRS