An inpatient fall risk assessment tool: Application of machine learning models on intrinsic and extrinsic risk factors
Background: This study aimed to identify the most impactful set of intrinsic and extrinsic fall risk factors and develop a data-driven inpatient fall risk assessment tool (FRAT). Methods: The dataset used for the study comprised in-hospital fall records from 2012 to 2017. Four machine learning (ML) ...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827023000725 |