Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population

Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population

Abstract Background Falls impact over 25% of older adults annually, making fall prevention a critical public health focus. We aimed to develop and validate a machine learning-based prediction model for serious fall-related injuries (FRIs) among community-dwelling older adults, incorporating various...

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Bibliographic Details
Main Authors: Kyu-Nam Heo, Jeong Yeon Seok, Young-Mi Ah, Kwang-il Kim, Seung-Bo Lee, Ju-Yeun Lee
Format: Article
Language:English
Published: BMC 2023-12-01
Series:BMC Geriatrics
Subjects:
Fall
Fall-related injury
Older adults
Machine-learning
Prediction model
Claims data
Online Access:https://doi.org/10.1186/s12877-023-04523-8

Internet

https://doi.org/10.1186/s12877-023-04523-8

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