Corpus ID: 232185478

Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework

@article{Lybarger2021IdentifyingAU,
  title={Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework},
  author={K. Lybarger and L. Mabrey and Matthew Thau and P. Bhatraju and M. Wurfel and Meliha Yetisgen-Yildiz},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.06352}
}
Acute respiratory distress syndrome (ARDS) is a life-threatening condition that is often undiagnosed or diagnosed late. ARDS is especially prominent in those infected with COVID-19. We explore the automatic identification of ARDS indicators and confounding factors in free-text chest radiograph reports. We present a new annotated corpus of chest radiograph reports and introduce the Hierarchical Attention Network with Sentence Objectives (HANSO) text classification framework. HANSO utilizes fine… Expand

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