Classifying Unstructured Clinical Notes via Automatic Weak Supervision

@article{Gao2022ClassifyingUC,
  title={Classifying Unstructured Clinical Notes via Automatic Weak Supervision},
  author={Chufan Gao and Mononito Goswami and Jieshi Chen and Artur Dubrawski},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.12088}
}
Healthcare providers usually record detailed notes of the clinical care delivered to each patient for clinical, research, and billing purposes. Due to the unstructured nature of these narratives, providers employ dedicated staff to assign diagnostic codes to patients’ diagnoses using the International Classification of Diseases (ICD) coding system. This manual process is not only time-consuming but also costly and error-prone. Prior work demonstrated potential utility of Machine Learning (ML… 

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