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US 2020/0402230 A1Published application
Method for providing an aggregate algorithm for processing medical data and method for processing medical data
AssigneeSiemens Healthcare GmbH
InventorsChristian SCHMIDT, Max SCHOEBINGER, Michael WELS
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Abstract
A method is for providing an aggregate algorithm for processing medical data. In an embodiment, a multitude of local algorithms are trained by machine learning. The training of each respective local algorithm is performed on a respective local system using respective local training data. A respective algorithm dataset concerning the respective local algorithm is transferred to an aggregating system that generates the aggregate algorithm based on the algorithm datasets.
Claims22
A method for providing an aggregate algorithm for processing medical data, the method comprising:
- training a multitude of local algorithms by machine learning, the training of each respective local algorithm, of the multitude of local algorithms, is performed on a respective local system using respective local training data;
- and
- generating the aggregate algorithm based on algorithm datasets by transferring each respective algorithm dataset, concerning the respective local algorithm, to an aggregating system.
A system comprising:
- at least one processor configured to
- train a multitude of local algorithms by machine learning, training of each respective local algorithm, of the multitude of local algorithms, is performed on a respective local system using respective local training data;
- and
- generate an aggregate algorithm based on algorithm datasets by transferring each respective algorithm dataset, concerning the respective local algorithm, to an aggregating system.
1 more element
Dependencies are inferred from the claim text.