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A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness
March 20, 2024, 4:45 a.m. | Boqi Chen, Junier Oliva, Marc Niethammer
cs.CV updates on arXiv.org arxiv.org
Abstract: Medical records often consist of different modalities, such as images, text, and tabular information. Integrating all modalities offers a holistic view of a patient's condition, while analyzing them longitudinally provides a better understanding of disease progression. However, real-world longitudinal medical records present challenges: 1) patients may lack some or all of the data for a specific timepoint, and 2) certain modalities or views might be absent for all patients during a particular period. In this …
abstract arxiv challenges cs.ai cs.cv disease however images information medical medical records modal multi-modal patient patients prediction records tabular text them type understanding unified model view world
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