LNN-EL: A neuro-symbolic approach to short-text entity linking
Hang Jiang, Sairam Gurajada, et al.
ACL-IJCNLP 2021
Unplanned intensive care units (ICU) readmissions and in-hospital mortality of patients are two important metrics for evaluating the quality of hospital care. Identifying patients with higher risk of readmission to ICU or of mortality can not only protect those patients from potential dangers, but also reduce the high costs of healthcare. In this work, we propose a new method to incorporate information from the Electronic Health Records (EHRs) of patients and utilize hyperbolic embeddings of a medical ontology (i.e., ICD-9) in the prediction model. The results prove the effectiveness of our method and show that hyperbolic embeddings of ontological concepts give promising performance.
Hang Jiang, Sairam Gurajada, et al.
ACL-IJCNLP 2021
Qiuhao Lu, Nisansa De Silva, et al.
COLING 2020
Tianfan Fu, Tian Gao, et al.
ACM-BCB 2019