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

Annual Conference on Health Informatics meets Digital Health (dHealth)（2022）

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摘要

In combination with multimodal learning SAINTENS and SAINT may be used on real world data comprising tabular, text and image data, for discovery and development of new digital biomarkers.

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关键词

Artificial Intelligence,Deep Learning,Digital Biomarkers,Geriatrics,Real World Data,Risk Assessment

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