Patent ID: 11928610
Assignee: KONINKLIJKE PHILIPS N.V.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method for training a probabilistic encoder-decoder having a latent space, the method comprising:
extracting different types of medical data for a group of individuals;
creating a data matrix X including the extracted medical data, wherein each row of the data matrix X comprises data for one of the group of individuals;
creating condition matrix C comprising features to define a clinical condition, wherein each row of the condition matrix C comprises the condition data for one of the group of individuals; and
training the encoder and the decoder to learn the latent space by minimizing a reconstruction loss and using a regularization effect to force clinically similar inputs to be close together in the latent space by minimizing a Kullback-Leibler divergence between the clinically similar inputs.