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datascience [2022/09/23 15:40]
nigam
datascience [2022/09/23 15:41] (current)
nigam
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 The research that underpins our work is supported by the [[:aihc | Stanford Medicine Program for AI in Healthcare]] and the framework guiding the development and evaluation of **F**air, **U**seful, and **R**eliable **M**odels (**FURM**) is below.  The research that underpins our work is supported by the [[:aihc | Stanford Medicine Program for AI in Healthcare]] and the framework guiding the development and evaluation of **F**air, **U**seful, and **R**eliable **M**odels (**FURM**) is below. 
  
-{{ ::furm-4-steps.png?nolink&600 |}}+{{ ::furm-4-steps.png?nolink |}}
  
 The four stages are: 1) problem specification and clarification, 2) development and validation of the model, 3) analysis of utility and impacts on the clinical workflow that is triggered by the model, and 4) monitoring and maintenance of the deployed model as well as evaluation of the running system comprised of the model-triggered workflow The four stages are: 1) problem specification and clarification, 2) development and validation of the model, 3) analysis of utility and impacts on the clinical workflow that is triggered by the model, and 4) monitoring and maintenance of the deployed model as well as evaluation of the running system comprised of the model-triggered workflow
datascience.txt · Last modified: 2022/09/23 15:41 by nigam