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Development and validation of random-forest based federated learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective study

2024-04-16

Abstract excerpt

<title>Abstract</title> <p> <bold>Background</bold> Machine learning models have shown great potential in preventive medicine but require large datasets, which is a challenge due to strict privacy regulations in the healthcare sector. Federated learning is an approach that enables collaboration between institutions while preserving data privacy. The focus today in research is on developing federated learning me...

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Literature Corpus work
21712b1c-ce82-5e08-a62c-69756998c45b
DOI
10.21203/rs.3.rs-2970317/v1
Open publication

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Development and validation of random-forest based federated learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective studyDOI 10.21203/rs.3.rs-2970317/v1
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