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Learning Patient-Level Prediction Models Across Multiple Healthcare Databases: Evaluation of Ensembles for Increasing Model Transportability

2022-02-07

Abstract excerpt

<h4>Background: </h4> Prognostic models that are accurate could help aid medical decision making. Large observational databases often contain temporal medical data for large and diverse populations of patients. It may be possible to learn prognostic models using the large observational data. Often the performance of a prognostic model undesirably worsens when transported to a different database (or into a clinical...

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Literature Corpus work
2805b737-2739-5e21-b195-77b15e78d608
DOI
10.21203/rs.3.rs-1217376/v1
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Learning Patient-Level Prediction Models Across Multiple Healthcare Databases: Evaluation of Ensembles for Increasing Model TransportabilityDOI 10.21203/rs.3.rs-1217376/v1
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