3 citations · 4 across the 4 of their papers we have counts for
4 papers
MEANT: Multimodal Encoder for Antecedent Information
Benjamin Iyoya Irving, Annika Marie Schoene
The stock market provides a rich well of information that can be split across modalities, making it an ideal candidate for multimodal evaluation. Multimodal data plays an increasin…
Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients
Sai Vidyaranya Nuthalapati, Marcela Vizcaychipi, Pallav Shah +6
The COVID-19 pandemic has had a considerable impact on day-to-day life. Tackling the disease by providing the necessary resources to the affected is of paramount importance. Howeve…
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
Oliver Carr, Stojan Jovanovic, Luca Albergante +6
Determining phenotypes of diseases can have considerable benefits for in-hospital patient care and to drug development. The structure of high dimensional data sets such as electron…
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units
Fernando Andreotti, Frank S. Heldt, Basel Abu-Jamous +8
In this work, we propose a multi-task recurrent neural network with attention mechanism for predicting cardiovascular events from electronic health records (EHRs) at different time…