NCBI PubMed Central
open access
Development and validation of a nomogram for predicting ADL outcomes in patients undergoing subacute stroke rehabilitation based on machine learning and standard bedside clinical data: a retrospective cohort study.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Cerebral Autoregulation in Patients With Symptomatic Cerebral Atherosclerotic Stenosis#899352
- Problem-solving: A Stroke Caregiver Early Intervention#858472
- Pilot Study of Acute Stroke Using the Brainpulse™#842117
- Federating European REgistries for Stroke: Principles, Data Model and Future Perspectives for a Federated Analysis of Multiple Prospective Stroke Registries.#430823
- Effects of a Neurorehabilitation Program Based on CIMT and Non-invasive Neuromodulation Through C-tDCS on the Recovery of Paretic Upper Limb Function, Quality of Life, and Therapeutic Alliance in Women From the Araucanía Region Who Suffered a Stroke (CIMT + tDCS).#865877
Record · ID 345298
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive