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Development and validation of interpretable Bayes machine learning model for risk adjustment of general outcome indicators: An example from Urology

2023-11-14

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Outcome quality indicators (QIs) are often used to measure quality of care, particularly when disease-specific QIs are underdeveloped, an example being urological interventions. Without risk-adjustment, outcome QIs cannot be used for feedback and benchmarking. Administrative data captures multiplediseases and risk factors at a population level and may be a valua...

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Literature Corpus work
e391000e-02aa-5a7d-b576-d91261fa1a6e
DOI
10.21203/rs.3.rs-3548872/v1
Open publication

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Development and validation of interpretable Bayes machine learning model for risk adjustment of general outcome indicators: An example from UrologyDOI 10.21203/rs.3.rs-3548872/v1
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