NCBI PubMed Central
open access
Predicting Home Exercise Adherence after Ischemic Stroke: Development and Validation of a Web-Based Nomogram.
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
- Development and Validation of a Machine Learning-Based Nomogram for Predicting Pressure Ulcer Risk in Respiratory Patients.#122759
- Tai Chi for Stroke Rehabilitation on Balance and Cognition#1046001
- Identifying health risk profiles among older adults in Kerala using machine learning: multidimensional clustering, predictive determinants, and public health implications.#150283
- Adherence and the Economics of Colon Cancer Screening#889025
- Quantifying infants' everyday restrained experiences in the home using wearable inertial sensors.#1166911
Record · ID 174422
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