Deep Learning Architectures for Vector Representations of Patients and Exploring Predictors of 30-Day Hospital Readmissions in Patients with Multiple Chronic Conditions.
Muhammad RafiqGeorge KeelPamela MazzocatoJonas SpaakCarl SavageChristian GuttmannPublished in: AIH@IJCAI (Revised Selected Papers) (2018)
Keyphrases
- deep learning
- heart failure
- health care
- emergency department
- high risk
- medical doctors
- patient records
- medical practice
- chronic disease
- vital signs
- unsupervised feature learning
- intensive care unit
- clinical data
- patient groups
- normal subjects
- clinical trials
- hospital information systems
- cardiovascular disease
- heart disease
- deep architectures
- unsupervised learning
- decision support system
- domain specific