Reidentifying patients across sites in a privacy preserving manner
AssigneeSiemens Healthineers AG
InventorsVarghese KOLLERATHU, Abhinandan TEJANI, Matthias WOLF
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Abstract
A system for improving training data for training a machine learning model, comprises: a medical imaging unit to acquire a medical image of a current patient; a crossover detection unit to identify a patient crossover of the medical image and a previous dataset that is stored in a shared database and correlated to a previous patient; and a patient allocation unit to, in case the patient crossover is identified, allocate the medical image to one of a number of database cohorts according to the previous dataset for training the machine learning model.
Claims23
A system for improving training data for training a machine learning model, the system comprising:
- a medical imaging unit configured to acquire a medical image of a current patient;
- a crossover detection unit configured to identify a patient crossover of the medical image and a previous dataset, the previous dataset stored in a shared database and correlated to a previous patient;
- and
- a patient allocation unit configured to, in case the patient crossover is identified, allocate the medical image to one of a number of database cohorts according to the previous dataset, for training the machine learning model.
Dependencies are inferred from the claim text.