Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score
Current stroke risk assessment tools presume the impact of risk factors is linear and cumulative. However, both novel risk factors and their interplay influencing stroke incidence are difficult to reveal using traditional additive models. The goal of this study was to improve upon the established Re...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021
|
| Online Access: | https://hdl.handle.net/1721.1/130097 |