MULTI-CENTER SYNERGETIC CANCER PROGNOSIS PREDICTION SYSTEM BASED ON MULTI-SOURCE MIGRATION LEARNING

    公开(公告)号:US20220093258A1

    公开(公告)日:2022-03-24

    申请号:US17543738

    申请日:2021-12-07

    Applicant: ZHEJIANG LAB

    Abstract: Provided is a multi-center synergetic cancer prognosis prediction system based on multi-source migration learning. The system includes a model parameter setting module, a data screening module, and a multi-source migration learning module, wherein the model parameter setting module is responsible for setting cancer prognosis prediction model parameters; the data screening module is arranged at a clinical center, and a management center transmits the set model parameter to each clinical center, such that each clinical center inquires a sample feature and prognosis index data from a local database according to the model parameter, so as to preprocess the data; and the multi-source migration learning module includes a source model training unit, a migration weight calculation unit, and a target model calculation unit.

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