CPC G06N 20/10 (2019.01) [G06F 18/2155 (2023.01); G06T 7/0012 (2013.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30096 (2013.01)] | 12 Claims |
1. A method for constructing and implementing a hybrid machine learning and mechanistic model to predict biological feature data, the steps of the method comprising:
constructing a hybrid machine learning and mechanistic model by:
(i) accessing training data with a computer system, the training data including labeled data and unlabeled data;
(ii) training a machine learning model based on the training data, generating output that includes a trained machine learning model;
(iii) augmenting the machine learning model using a mechanistic model that mathematically describes at least one of a biological process or a physiological process associated with a biological feature, generating a hybrid model comprising a hybrid machine learning and mechanistic model; and
generating predicted biological feature data by inputting multiparametric magnetic resonance images to the hybrid model.
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