Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry
Objectives: Using the prediction of cancer outcome as a model, we have tested the hypothesis that through analysing routinely collected digital data contained in an electronic administrative record (EAR), using machine-learning techniques, we could enhance conventional methods in predicting clinical...
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Journal Article |
| Published: |
BM J Group
2014
|
| Online Access: | http://hdl.handle.net/20.500.11937/24886 |