SAINTENS: Self-Attention and Intersample Attention Transformer for Digital Biomarker Development Using Tabular Healthcare Real World Data.

Journal: Studies in health technology and informatics
Published Date:

Abstract

BACKGROUND: Deep learning currently struggles with tabular data, but it can benefit from multimodal learning. SAINT is a deep learning model for tabular data on which we base our presented developments.

Authors

  • Julian Gutheil
    JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria.
  • Klaus Donsa
    JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria.