Learning electronic health records through hyperbolic embedding of medical ontologies
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 …
two important metrics for evaluating the quality of hospital care. Identifying patients with …
[PDF][PDF] Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies
Q Lu, N de Silva, S Kafle, J Cao, D Dou, TH Nguyen… - 2019 - researchgate.net
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 …
two important metrics for evaluating the quality of hospital care. Identifying patients with …
[PDF][PDF] Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies
Q Lu, N de Silva, S Kafle, J Cao, D Dou, TH Nguyen… - 2019 - cs.uoregon.edu
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 …
two important metrics for evaluating the quality of hospital care. Identifying patients with …
[PDF][PDF] Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies
Q Lu, N de Silva, S Kafle, J Cao, D Dou, TH Nguyen… - 2019 - yunyaoli.github.io
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 …
two important metrics for evaluating the quality of hospital care. Identifying patients with …
[PDF][PDF] Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies
Q Lu, N de Silva, S Kafle, J Cao, D Dou, TH Nguyen… - 2019 - academia.edu
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 …
two important metrics for evaluating the quality of hospital care. Identifying patients with …
[PDF][PDF] Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies
Q Lu, N de Silva, S Kafle, J Cao, D Dou, TH Nguyen… - 2019 - brent.hailpern.com
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 …
two important metrics for evaluating the quality of hospital care. Identifying patients with …
Learning electronic health records through hyperbolic embedding of medical ontologies
Q Lu, N De Silva, S Kafle, J Cao, D Dou… - … Biology and Health …, 2019 - research.ibm.com
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 …
two important metrics for evaluating the quality of hospital care. Identifying patients with …
Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies
Q Lu, Y Li, N de Silva, S Kafle, J Cao, D Dou… - Proceedings of the 10th …, 2019 - par.nsf.gov
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 …
two important metrics for evaluating the quality of hospital care. Identifying patients with …
[PDF][PDF] Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies
Q Lu, N de Silva, S Kafle, J Cao, D Dou, TH Nguyen… - 2019 - brent.hailpern.com
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 …
two important metrics for evaluating the quality of hospital care. Identifying patients with …