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Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator–Optimized Stacking Ensemble Approaches paper by Independent / Community
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Paper

Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator–Optimized Stacking Ensemble Approaches

by Independent / Community 000dfa13a24a6a4082a52640be7b53179470efbe
Free2AITools Nexus Index
64.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 74
P: Popularity 49
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

Poststroke injuries limit the daily activities of patients and cause considerable inconvenience. Therefore, predicting the activities of daily living (ADL) results of patients with stroke before hospital discharge can assist clinical workers in formulating more personalized and effective strategies for therapeutic intervention, and prepare hospital discharge plans that suit the patients needs. This study used the leave-one-out cross-validation procedure to evaluate the performance of the mach...

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Semantic Scholar 7 Citations
Paper Information Summary
Entity Passport
Registry ID 000dfa13a24a6a4082a52640be7b53179470efbe
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{000dfa13a24a6a4082a52640be7b53179470efbe,
  author = {Unknown},
  title = {Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator–Optimized Stacking Ensemble Approaches Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/000dfa13a24a6a4082a52640be7b53179470efbe}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator–Optimized Stacking Ensemble Approaches [Paper]. Free2AITools. https://api.semanticscholar.org/000dfa13a24a6a4082a52640be7b53179470efbe

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Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 74
Popularity (P) 49
Recency (R) 100
Quality (Q) 65

💬 Index Insight

FNI V2.0 for Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator–Optimized Stacking Ensemble Approaches: Authority (A:74), Popularity (P:49), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"Poststroke injuries limit the daily activities of patients and cause considerable inconvenience. Therefore, predicting the activities of daily living (ADL) results of patients with stroke before hospital discharge can assist clinical workers in formulating more personalized and effective strategies for therapeutic intervention, and prepare hospital discharge plans that suit the patients needs. This study used the leave-one-out cross-validation procedure to evaluate the performance of the mach..."

❝ Cite Node 

@article{Unknown2026Developmental,
  title={Developmental Prediction of Poststroke Patients in Activities of Daily Living by Using Tree-Structured Parzen Estimator–Optimized Stacking Ensemble Approaches},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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📊 Research Signals

📈7CitationsSemantic Scholar
🏛️74AuthorityFNI pillar
⏱️100RecencyFNI pillar
✅65QualityFNI pillar
🗂️vision multimediaField
📦Data Source: semantic_scholar
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🆔 Identity & Source

source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

⚙️ Technical Specs

architecture
null
params billions
null
context length
null
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citations
7

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