AI-driven fall risk prediction in inpatients: Development, validation, and comparative evaluation
Background & Aim: Falls among hospitalized patients pose severe consequences, necessitating accurate risk prediction. Traditional assessment tools rely on cross-sectional data and lack dynamic analysis, limiting clinical applicability. This study developed an AI-based fall risk prediction model...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2025-03-01
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| Series: | Nursing Practice Today |
| Subjects: | |
| Online Access: | https://npt.tums.ac.ir/index.php/npt/article/view/3374 |
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