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A Prompt-based Multimodal Tabular Transformer Encoder For Medical Intervention Duration Estimation. (arXiv:2303.17408v2 [cs.CL] UPDATED)
cs.CL updates on arXiv.org arxiv.org
Objective: This study focuses on estimating the duration of medical
interventions using electronic health records (EHRs) in clinical decision
support. Most existing models were designed for structured tabular data only
and often suffer from data corruption problem. The unstructured clinical
free-text data that provides valuable insights and is more resistant to data
corruption is often overlooked. The objective of this research is to develop a
multimodal deep learning framework that integrates different data modalities
from EHRs, thereby fully utilizing the …
arxiv data decision decision support electronic electronic health records encoder free health insights medical multimodal prompt records study support tabular tabular data text transformer unstructured