Europe PMC
metadata only
CC BY-NC-ND 4.0
A systematic review of environmental factors in AI-based fall risk prediction models for community-dwelling older adults
abstract available
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
- Intelligent fall risk prediction and real-time warning system for elderly care based on multimodal deep learning and wearable sensor fusion.#631148
- Supplementary material - Measurement properties of Patient-Reported Outcome Measures assessing fall-related constructs in older adults: a systematized review#250010
- Supplementary material - Measurement properties of Patient-Reported Outcome Measures assessing fall-related constructs in older adults: a systematized review#249988
- Developing a Falls Prediction Tool Using Both Accelerometer and Video Gait Analysis Data in Older Adults#1150179
- Multisystem Predictors of Dynamic Gait Stability Across Fall Risk in Older Adults#351824
Record · ID 1250265
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