26 citations · 43 across the 6 of their papers we have counts for
3 papers · 1 filter
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini +4
With the emergence of multimodal electronic health records, the evidence for an outcome may be captured across multiple modalities ranging from clinical to imaging and genomic data…
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini +4
In a complex disease such as tuberculosis, the evidence for the disease and its evolution may be present in multiple modalities such as clinical, genomic, or imaging data. Effectiv…
On the explainability of hospitalization prediction on a large COVID-19 patient dataset
Ivan Girardi, Panagiotis Vagenas, Dario Arcos-Díaz +8
We develop various AI models to predict hospitalization on a large (over 110) cohort of COVID-19 positive-tested US patients, sourced from March 2020 to February 2021. Models ra…