Simulating drug responses in laboratory test time series with deep generative modeling
Drug effects can be unpredictable and vary widely among patients with environmental, genetic, and clinical factors. Randomized control trials (RCTs) are not sufficient to identify adverse drug reactions (ADRs), and the electronic health record (EHR) along with medical claims have become an important...
| Main Author: | |
|---|---|
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://doi.org/10.7916/d8-arta-jt32 |