Machine Learning in Discharge Planning for Stroke Patients: A Review of Feature Representation and Aggregation Strategies With Suggestions for Improvement

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Publication Details

Journal
Journal of Clinical Nursing
Published
2026-03-07
DOI
https://doi.org/10.1111/jocn.70285
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning in Discharge Planning for Stroke Patients: A Review of Feature Representation and Aggregation Strategies With Suggestions for Improvement

Jiaxin Cai, Siyu Liu
Journal of Clinical Nursing
Acute Ischemic Stroke Management
article

Machine Learning in Discharge Planning for Stroke Patients: A Review of Feature Representation and Aggregation Strategies With Suggestions for Improvement

Jiaxin Cai, Siyu Liu
article en

Abstract

No abstract available for this paper.
Journal of Clinical Nursing
Xiamen University of Technology (CN)
Gender equality
Openalex Percentile: Top 31%
Acute Ischemic Stroke Management
DOISourceOpenAlex
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Machine Learning in Discharge Planning for Stroke Patients: A Review of Feature Representation and Aggregation Strategies With Suggestions for Improvement — Jiaxin Cai, Siyu Liu · Journal of Clinical Nursing (2026) | TGRS Research Map | TGRS