Maria-X: A Multimodal Transformer Aware of Missing Data for Reliable Diagnosis and Prognosis of Alzheimer’s Disease
Missing values are a persistent issue across real-world datasets, and they often undermine the reliability of models built on top of that data. Most existing solutions have been developed and tested under the MCAR assumption a condition that is uncommon in actual data collection settings and therefore leaves open quest...