ML Anthology

Deep Learning Architectures for Vector Representations of Patients and Exploring Predictors of 30-Day Hospital Readmissions in Patients with Multiple Chronic Conditions

Muhammad Rafiq, George Keel, Pamela Mazzocato, Jonas Spaak, Carl Savage, Christian Guttmann
IJCAI 2018 pp. 228-244
doi:10.1007/978-3-030-12738-1_17 /ijcai/2018/rafiq2018ijcai-deep-a/
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Cite

Text

Rafiq et al. "Deep Learning Architectures for Vector Representations of Patients and Exploring Predictors of 30-Day Hospital Readmissions in Patients with Multiple Chronic Conditions." International Joint Conference on Artificial Intelligence, 2018. doi:10.1007/978-3-030-12738-1_17

Markdown

[Rafiq et al. "Deep Learning Architectures for Vector Representations of Patients and Exploring Predictors of 30-Day Hospital Readmissions in Patients with Multiple Chronic Conditions." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/rafiq2018ijcai-deep-a/) doi:10.1007/978-3-030-12738-1_17

BibTeX

@inproceedings{rafiq2018ijcai-deep-a,
  title     = {{Deep Learning Architectures for Vector Representations of Patients and Exploring Predictors of 30-Day Hospital Readmissions in Patients with Multiple Chronic Conditions}},
  author    = {Rafiq, Muhammad and Keel, George and Mazzocato, Pamela and Spaak, Jonas and Savage, Carl and Guttmann, Christian},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {228-244},
  doi       = {10.1007/978-3-030-12738-1_17},
  url       = {https://mlanthology.org/ijcai/2018/rafiq2018ijcai-deep-a/}
}