Feature importance to explain multimodal prediction models. A clinical use case

arXiv:2404.18631v1 Announce Type: new
Abstract: Surgery to treat elderly hip fracture patients may cause complications that can lead to early mortality. An early warning system for complications could provoke clinicians to monitor high-risk patients more carefully and address potential complications early, or inform the patient. In this work, we develop a multimodal deep-learning model for post-operative mortality prediction using pre-operative and per-operative data from elderly hip fracture patients. Specifically, we include static patient data, hip and chest images before surgery …

abstract arxiv case clinical clinicians cs.lg elderly feature importance mortality multimodal patient patients prediction prediction models risk surgery type work