A knowledge distillation ensemble framework for predicting short-and long-term hospitalization outcomes from electronic health records data

ZM Ibrahim, D Bean, T Searle, L Qian… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The ability to perform accurate prognosis is crucial for proactive clinical decision making,
informed resource management and personalised care. Existing outcome prediction models …
被引用次数：16 相关文章

A Knowledge Distillation Ensemble Framework for Predicting Short-and Long-Term Hospitalization Outcomes From Electronic Health Records Data

ZM Ibrahim, D Bean, T Searle… - IEEE journal of …, 2022 - pubmed.ncbi.nlm.nih.gov
The ability to perform accurate prognosis is crucial for proactive clinical decision making,
informed resource management and personalised care. Existing outcome prediction models …

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data

Z Ibrahim, D Bean, T Searle, L Qian… - IEEE Journal of …, 2021 - discovery.ucl.ac.uk
The ability to perform accurate prognosis of patients is crucial for proactive clinical decision
making, informed resource management and personalised care. Existing outcome …

A Knowledge Distillation Ensemble Framework for Predicting Short-and Long-Term Hospitalization Outcomes from Electronic Health Records Data

ZM Ibrahim, D Bean, T Searle, L Qian… - IEEE Journal of …, 2022 - kclpure.kcl.ac.uk
The ability to perform accurate prognosis is crucial for proactive clinical decision making,
informed resource management and personalised care. Existing outcome prediction models …

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data

ZM Ibrahim, D Bean, T Searle, H Wu, A Shek… - arXiv preprint arXiv …, 2020 - arxiv.org
The ability to perform accurate prognosis of patients is crucial for proactive clinical decision
making, informed resource management and personalised care. Existing outcome …

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data

ZM Ibrahim, D Bean, T Searle, H Wu, A Shek… - arXiv e …, 2020 - ui.adsabs.harvard.edu
The ability to perform accurate prognosis of patients is crucial for proactive clinical decision
making, informed resource management and personalised care. Existing outcome …

A Knowledge Distillation Ensemble Framework for Predicting Short-and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

ZM Ibrahim, D Bean, T Searle, L Qian, H Wu… - IEEE Journal of …, 2022 - europepmc.org
The ability to perform accurate prognosis is crucial for proactive clinical decision making,
informed resource management and personalised care. Existing outcome prediction models …
[PDF] archive.org

[PDF][PDF] A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data

ZM Ibrahim, D Bean, T Searle, L Qian, H Wu, A Shek… - scholar.archive.org
The ability to perform accurate prognosis is crucial for proactive clinical decision making,
informed resource management and personalised care. Existing outcome prediction models …