Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. (arXiv:2211.06045v1 [cs.LG])

Predicting the health risks of patients using Electronic Health Records (EHR)
has attracted considerable attention in recent years, especially with the
development of deep learning techniques. Health risk refers to the probability
of the occurrence of a specific health outcome for a specific patient. The
predicted risks can be used to support decision-making by healthcare
professionals. EHRs are structured patient journey data. Each patient journey
contains a chronological set of clinical events, and within each clinical
event, there is a …

arxiv data health journey missing values networks neural networks patient prediction risk values