Risk prediction for covid-19 patient management

An apparatus comprising:

• means for receiving input medical imaging data and patient data of a patient, the input medical imaging data comprising abnormality patterns associated with a disease;
• means for extracting imaging features from the input medical imaging data using a trained machine learning based feature extraction network;
• means for normalizing one or more of the extracted imaging features;
• means for encoding the one or more normalized extracted imaging features and the patient data into features using a trained machine learning based encoder network;
• and
• means for predicting risk for a medical event associated with evaluating or treating the patient for the disease based on the encoded features.

A non-transitory computer readable medium storing computer program instructions, the computer program instructions when executed by a processor cause the processor to perform operations comprising:

• receiving input medical imaging data and patient data of a patient, the input medical imaging data comprising abnormality patterns associated with a disease;
• extracting imaging features from the input medical imaging data using a trained machine learning based feature extraction network;
• normalizing one or more of the extracted imaging features;
• encoding the one or more normalized extracted imaging features and the patient data into features using a trained machine learning based encoder network;
• and
• predicting risk for a medical event associated with evaluating or treating the patient for the disease based on the encoded features.