Development of Fall Risk Classification Models for Community-Dwelling Older Adults using Latent Class Analysis and Machine Learning

The study adopted a preventive approach by differentiating among low-, moderate-, and high-fall-risk groups, thus providing valuable insights for healthcare professionals. Identifying these risk factors can support the development of customized fall prevention programs for older adults.