NCBI PubMed Central
open access
Machine learning-based identification of anxiety symptoms in Chinese community-dwelling older adults: a comparative study of six algorithms with SHAP analysis and nomogram development.
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
- A machine learning approach to profiling anxiety risk among cancer patients on treatment.#382589
- Influence of the Coloring of a Complex Form on Anxiety Associated With Care.#893045
- The effects of subjective and objective socioeconomic status on older adults’ mental health in China: a life course-based perspective.#125515
- Can Brain-Computer Interface Predict Change in Anxiety During an Art Experience? Preliminary data from the ASBA project#464450
- Age of anxiety#63647
Record · ID 653337
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