NCBI PubMed Central
open access
Development and Validation of a Disability Risk Prediction Model for Older Adults Based on Machine Learning: A Multi-Algorithm Comparison with SHAP Interpretation.
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
- Early Detection of Clinical Deterioration in ICU Patients With Respiratory Failure Receiving Vasoactive Support: A Machine Learning Approach to Identifying High-Risk Individuals.#685584
- Identifying the factors influencing long-term care utilization by older adults in China: machine learning analysis.#371599
- Development and External Validation of an Explainable Machine Learning Model to Identify Positive Dysphagia Screening Results in People with Dementia: A Multicenter Cross-Sectional Study.#1000968
- Meeting the 24-Hour Movement Guidelines and Frailty Risk: Evidence From Two Nationally Representative Population Studies and Machine-Learning Models.#420980
- Development and external validation of an explainable machine learning model for predicting chronic kidney disease progression in the Korean population#1002098
Record · ID 613299
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